Your Search Results [1830] You might also be interested in ... [2018]

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internetstores GmbH; Stuttgart, Baden-Württemberg, Germany

Published: September 22, 2018   10:24

     
                              
Workload: 100%
Duties: Du führst komplexe Analysen zu Fragestellungen aus allen Bereichen eines eCommerce-Versandhandelsunternehmens mit den Schwerpunkten Onlinemarketing, Einkauf und Logistik durch; Du arbeitest an der Weiterentwicklung der Daten- und Tool-Infrastruktur, insbes. des Data Warehouses mit; Du wendest explorative Verfahren zur Mustererkennung, der Bestimmung von Zusammenhängen und der Identifizierung von Auffälligkeiten an; Du bist für die Aufbereitung sowie die Präsentation der Ergebnisse verantwortlich; Du entwickelst analytische Vorhersagemodelle und optimierst diese kontinuierlich; Du steuerst die Modellimplementierung (Spezifikation von IT-Anforderungen, Testing)
Minimum Requirements: Du verfügst über Erfahrung in der Arbeit mit Datenstrukturen, -modellen und Datenbanken mit SQL; Du hast bereits mit Analytics- bzw. Data Mining-Tools/Programmiersprachen (z.B. R, Python, KNIME, SPSS oder SAS) gearbeitet; Idealerweise hast du bereits mit Data Mining-Techniken gearbeitet und Kenntnisse in mathematisch-statistischen Methoden (z.B. Regression und Clusteranalyse); Du verfügst über sehr gute Deutsch-Kenntnisse, dein Englisch ist gut

University of Toronto (U of T); Toronto, Ontario, Canada

Published: September 22, 2018   10:17

     
                              
Department: Department of Astronomy and Astrophysics; Department of Statistical Sciences
Duties: Successful candidates are expected to pursue independent, innovative research at the highest international level; to establish a strong externally funded independent research program; to have a strong commitment to undergraduate and graduate teaching, and to contribute to the enrichment of both Departments
Minimum Requirements: Applicants must have a Ph.D. in Astronomy, Astrophysics, Statistics or a closely related field by the time of appointment or shortly thereafter, and must demonstrate excellence in teaching and research. We are particularly interested in exceptional candidates who work in areas at the cutting edge of Astrostatistics, who have deep understanding of Astronomy and Astrophysics research problems and who can develop modern statistical techniques for analyzing massive astronomy and astrophysics data

University of Minnesota (U of M); Twin Cities, Minnesota, United States

Published: September 22, 2018   10:10

     
                              
Department: School of Statistics
Duration: tenure-track       
Workload: 100%
Duties: Faculty in the School of Statistics in the College of Liberal Arts are expected to maintain an active research program in statistics, develop and teach undergraduate and graduate courses, advise undergraduate and graduate students, and contribute service appropriate for the rank of the appointment to the department, college, University, and profession
Minimum Requirements: Ph.D. in Statistics or a closely related field is required by start date of the appointment; College/university-level teaching experience is preferred; Candidates will be evaluated according to the overall quality of their academic preparation and scholarly work, evidence of research ability, evidence of commitment to teaching and skills as a teacher, and strength of recommendations

University College London (UCL); London, United Kingdom

Deadline: October 4, 2018 | Published: September 22, 2018   06:10

     
                              
Department: MRC Clinical Trials Unit
Duration: 2, 5 y       
Workload: 100%
Duties: We have opportunities for Data Scientists within the Data Management Systems team. The purpose of the Data Scientist role is to improve the quality and practice of data management in the unit, by developing and implementing data management standards and procedures. Postholders will work with and provide support to study teams and database programmers in the production and deployment of study databases and data management practices, ensuring Unit standards are adhered to
Minimum Requirements: Candidates must have hands on experience of data management in clinical trials, particularly in the areas of CRF development and writing database metadata. They will have excellent communication and interpersonal skills, be a strong team player and have the ability to adopt a pragmatic approach to problem solving. Additionally they will be able to prioritise a busy and varied workload effectively

Diamond Light Source; Didcot, Oxfordshire, United Kingdom

Deadline: October 21, 2018 | Published: September 22, 2018   06:08

     
                              
Department: Life Science
Duration: 3 y       
Workload: 100%
Duties: The experimental project is focused on a novel use of adaptive optics, to produce high-contrast IR images and high signal-to-noise spectra at every pixel of the FPA detector. The hardware and control system - already implemented at MIRIAM beamline - makes use of an innovative double set of deformable mirrors for shaping the IR beam profile. The software part of the project will develop open and closed loop algorithms for fully optimizing the IR illumination for the highest throughput and homogenous illumination at the sample plane
Minimum Requirements: B22 is recruiting a Post-Doctoral Research Associate for primary research in full-field IR microscopy via FPA detector and Synchrotron IR illumination. The research will develop fast molecular imaging capabilities to be applied to the wide range of scientific problems investigated by IR microspectroscopy at B22. The Diamond position will be based at the MIRIAM Beamline B22 with research, in collaboration with the Department of Engineering Science at Oxford University

CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences; Wien, Austria

Deadline: November 3, 2018 | Published: September 22, 2018   06:04

     
                              
Duties: The successful candidate will develop and apply advanced machine learning technology (e.g., deep neural networks, kernel methods, time series analysis, causal modeling) to discover fundamental mechanisms of biology and to advance personalized medicine. Potential applications include single-cell sequencing in cancer, 3D reconstruction of tumors, epigenetic landscapes, mobile health technology, and pattern discovery in heterogeneous biomedical data
Minimum Requirements: We are looking for ambitious candidates who want to build a scientific career in bioinformatics and/or artificial intelligence research and its applications in biology and medicine. A strong candidate would have a strong background in the quantitative sciences (computer science, bioinformatics, statistics, mathematics physics, engineering, etc.). We will also consider applicants with a background in biology or medicine who have strong quantitative skills and a keen interest in pursuing computational projects (a combination with wet-lab research is possible)

Universität Osnabrück; Osnabrück, Niedersachsen, Germany

Deadline: October 19, 2018 | Published: September 21, 2018   23:05

     
                              
Department: Fachgebiet Banken und Finanzierung
Duration: 3 y       
Workload: 66, 67%
Duties: Mitarbeit in der Forschung und Lehre des Fachgebietes Banken und Finanzierung sowie in der Fachgebietsorganisation. Eigenständige wissenschaftliche Forschungsarbeit mit dem Ziel der Promotion. Das Fachgebiet ist an der Profillinie „Innovation und Regulierung in der digitalen Gesellschaft“ der Universität Osnabrück beteiligt. Hier soll auch der Forschungsschwerpunkt liegen
Minimum Requirements: abgeschlossenes wissenschaftliches Hochschulstudium mit Prädikatsexamen (Diplom oder Master in Betriebs- oder Volkswirtschaftslehre, (Wirtschafts-) Mathematik, Wirtschaftsinformatik oder vergleichbarer Studienrichtung. sehr gute aktuelle Kenntnisse im Bereich Banken/Finanzierung. Erfahrung mit empirischen oder modelltheoretischen Arbeiten zu Themen aus dem Bereich Banken/Finanzierung/Fintechs (z. B. im Rahmen der Abschlussarbeit). sehr gute Kenntnisse im Umgang mit statistischer Software, sehr gute Englischkenntnisse sowie für die Mitarbeit in der Lehre und der Fachgebietsorganisation hinreichende Deutschkenntnisse. ausgeprägtes Interesse an und Befähigung zu quantitativer Forschung im Bereich Banken/Finanzierung. Teamfähigkeit, eine hohe Leistungsbereitschaft sowie die Fähigkeit zum eigenverantwortlichen Arbeiten

Lund University; Lund, Scania, Sweden

Deadline: October 10, 2018 | Published: September 21, 2018   22:53

     
                              
Department: Matematikcentrum
Duration: 4 y       
Workload: 100%
Duties: The doctoral students positions are mainly devoted to postgraduate studies, but include 20% department service, usually teaching. The research area for the current call is mathematical methods and models within computer vision, image analysis, feature extraction, machine learning, statistical methods, optimization and tracking
Minimum Requirements: A person meets the general admission requirements for third-cycle courses and study programmes if he or she: has been awarded a second-cycle qualification, or has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second cycle, or has acquired substantially equivalent knowledge in some other way in Sweden or abroad. A person meets the specific admission requirements for third cycle studies in mathematics if he or she has: at least 90 credits of relevance to the subject area, of which at least 60 credits from the second cycle and a specialised project of at least 30 second-cycle credits in the field, or a second second-cycle degree in a relevant subject. In practice this means that the student should have achieved a level of knowledge in mathematics that corresponds to that of Master of Science programs in Engineering Mathematics or Engineering Physics or a Masters degree in mathematics or applied mathematics. Very goo...
Preferred Requirements: Programming experience (C++, java, matlab, python). Skills in developing structure from motion algorithms. Skills in deep learning research

University of Antwerp; Antwerp, Flanders, Belgium

Published: September 21, 2018   22:49

     
                              
Duration: 1+ y
Duties: Depending on your interest, the successful candidate will work on the development of a multivariate statistical framework to simultaneously analyse STEM, EELS, and EDX datasets or the acquisition and quantitative analysis of experimental data. The PhD candidate prepares a doctoral thesis in the field of sciences. The postdoctoral researcher has the opportunity to supervise student projects. You publish scientific articles related to the research project of the assignment. You present your work at national and international workshops and conferences
Minimum Requirements: The PhD candidate holds a master degree while the postdoctoral researcher holds a PhD degree with a background in e.g. physics, statistics, mathematics, transmission electron microscopy or scientific computing. You are enthusiastic and greatly interested in the quantitative analysis of electron microscopy data. You can submit outstanding academic results. You are highly motivated, quality-oriented, conscientious, creative and cooperative

John Wood Community College (JWCC); Quincy, Illinois, United States

Published: September 21, 2018   22:38

     
                              
Duties: JWCC is seeking instructors to teach a variety of math classes that could include Developmental Mathematics, Technical Math, Statistics, College Algebra and Trigonometry
Minimum Requirements: Bachelor’s degree required for Developmental Mathematics and Technical Math. Master’s degree in mathematics for Statistics, College Algebra, and Trigonometry. The degree required for teaching is determined by the Illinois Community College Board

Eastern Michigan University (EMU); Ypsilanti, Michigan, United States

Published: September 21, 2018   22:34

     
                              
Duties: The Research Doctoral Fellow performs research a majority of their service. Working closely with one or more faculty members, assist with scholarly activities or research. Potentially includes all phases of research from design through literature review, data collection, analysis, writing, and preparation/presentation of findings. The Research Doctoral Fellow receives a stipend and a tax-exempt tuition waiver. Assist university faculty/staff with research-related projects or other assignments that require the advanced discipline skills of graduate students
Minimum Requirements: Ability to work up to 20 hours per week (10 for 50%) is required. GPA of 3.0 or higher is required. Admission and enrollment in a doctoral program is required. Maintenance of a 67% course completion is required. Enrollment in at least 6 credits for Fall and Winter semesters is required

RAND Corporation; Santa Monica, California, Boston, Massachusetts, United States

Published: September 21, 2018   22:31

     
                              
Duties: Applied mathematics staff members at RAND bring their technical approach and insights to bear on a wide range of problems across RAND's defense, domestic, and international research agendas. These scientists rarely conduct theoretical research or specialize in narrow areas; instead, they usually apply their skills to broader emerging problems at the cutting edge of their fields and apply their insights to critical policy issues. RAND projects often pose novel challenges in analysis, modeling, design, sampling, measurement, and computing. Examples include space technology, communications, modeling and simulation, mathematical programming, game theory, and systems analysis
Minimum Requirements: PhD in mathematics or a related field is required (you may also apply if you are at the dissertation stage and expect to complete your PhD within 12 months). Specializations of Interest: Simulation, quantitative prediction, or quantitative modeling

Università degli Studi di Brescia; Brescia, Lombardia, Italy

Published: September 21, 2018   19:31

     
                              
Workload: 100%
Duties: Block designs have applications in many areas such as coding theory, communications systems and software testing. For instance, optimal optical orthogonal codes - whose construction is a target of this project - are a variant of difference families and they have important applications in fiber optic communications where there is a need to maximize the number of multiple users sharing the same channel without interference. The research will focus on graph and hypergraph problems, as well as other combinatorial structures, derived from perfect hashing and zero-error communication problems with list decoding over classical and classical-quantum channels
Minimum Requirements: Experienced researcher or 4-10 years (Post-Doc)

Penn State Milton S. Hershey Medical Center; Hershey, Pennsylvania, United States

Published: September 21, 2018   18:49

     
                              
Department: Radiology
Duration: 1+1 y
Duties: Successful applicants will be expected to take advantage of the institution`s many clinical departments and our excellent working relationships there to source interesting projects at the intersection of novelty and practicality. The position will also provide opportunities for diverse research experiences in a highly collegial environment at both the College of Medicine campus at Hershey and the University Park campus. Successful applicants will have preferential access to CORVA`s 3 database scientists, a team of 3 IRB staff, a pre award grant specialist and dedicated administrative support
Minimum Requirements: The only mandatory requirement is a superlative understanding of methods and extremely strong practical skills in at least one of the following, with strong preference for model building: data extraction side - Building scalable data pipelines, data engineering, and feature engineering. Database - Constructing, analyzing and administering relational databases, SQL, No SQL, business intelligence tools such as IBM Cognos, SAP Business Objects. Big data - Distributed programming languages such as Hadoop/MapReduce. Data mining - Bayesian networks, CHAID, CART, hierarchical mixed models, and generalized linear models. Machine learning - Information-, similarity-, probability-, and error-based approaches including random forests, gradient boosting, SVMs, clustering, graph theory and neural networks. Statistics - Bayesian and frequentist methodologies, unimpeachable mathematical understanding of statistical testing, ideally from a clinical trials or more general biostatistics background. Mode...

UBS AG; Opfikon, Zürich, Switzerland

Published: September 21, 2018   17:33

     
                              
Department: Risk; Corporate Center
Duties: assess the model's conceptual soundness; ensure appropriateness of the chosen model methodology, data inputs, model assumptions, use of model outcomes and model implementation, among others; Analyse model outcome, perform benchmark and robustness analyses; identify model limitations and evaluate overall model risk; document your model assessment against both regulatory and internal business standards; interact and collaborate with stakeholders: model developers, users, model governance representatives in order to safeguard the quality of our model risk management framework
Minimum Requirements: Advanced degree in a quantitative field or related business area; knowledge of financial markets and products, experience in the financial services industry, preferably in risk management; solid coding skills in VBA, SQL and statistical software such as R or SAS; fluent in English, oral and written

UBS AG; Zürich, Switzerland

Published: September 21, 2018   17:31

     
                              
Department: Risk; Corporate Center
Workload: 100%
Duties: Develop and implement advanced credit risk measures techniques for the Swiss Retail Lending portfolio; Support the process of automation and industrialization by leveraging on big data and machine learning approaches; Perform and provide impact analysis at portfolio as well as client level for Senior Management and the Regulator; Perform and document model performance and confirmation tests
Minimum Requirements: Master's or PhD degree in a quantitative discipline (e.g. Mathematics, Statistics, Econometrics, Financial Engineering, Economics, Finance, Computer Science); Experience in big data and machine learning techniques; Good coding skills preferably in R or SAS; Sound knowledge of statistical and econometric methods and their application in credit risk; Basic knowledge of real estate valuation is a plus; English (oral and written), German is a plus

UBS AG; Zürich, Switzerland

Published: September 21, 2018   17:29

     
                              
Department: Risk; Corporate Center
Workload: 100%
Duties: assess the model's conceptual soundness and methodology; check appropriateness of assumptions, parameters, model calibrations, qualitative or expert adjustments, etc; review outcome, impact, or benchmark analyses and develop a benchmark model (as appropriate); assess model risk, including model robustness analysis, identification of limitations, and their assessment; document the assessment to the required standards; collaborate with model developers and communicate with key stakeholders across the institution
Minimum Requirements: Strong quantitative analytic and modelling skills with Master’s or PhD degree in a quantitative field (e.g. econometrics, financial economics, financial maths, statistics, engineering, physics, mathematics) and preferably a few years of experience in risk modelling, model validation or related fields; Proven project management skills; Good computing and programming (coding) skills and experience utilizing programming languages such as R or Python; Familiarity with CCAR and/or IFRS9 is a plus; Fluent in English, oral and written

UBS AG; Zürich, Switzerland

Published: September 21, 2018   17:27

     
                              
Department: Risk; Corporate Center
Workload: 100%
Duties: assess the model's conceptual soundness and methodology; check appropriateness of assumptions, parameters, model calibrations, qualitative or expert adjustments, etc; review outcome, impact, or benchmark analyses and develop a benchmark model (as appropriate); assess model risk, including model robustness analysis, identification of limitations, and their assessment; document the assessment to the required standards; collaborate with model developers and communicate with key stakeholders across the institution
Minimum Requirements: Strong quantitative analytic and modelling skills with Master’s or PhD degree in a quantitative field (e.g. econometrics, financial economics, financial maths, statistics, engineering, physics, mathematics) and preferably a few years of experience in risk modelling, model validation or related fields; Proven project management skills; Good computing and programming (coding) skills and experience utilizing programming languages such as R or Python; Familiarity with CCAR and/or IFRS9 is a plus; Fluent in English, oral and written

UBS AG; Zürich, Switzerland

Published: September 21, 2018   17:24

     
                              
Department: Corporate Center
Workload: 100%
Duties: carry out project-based independent model reviews; assess a model's conceptual soundness and methodology; implement benchmark models; check appropriateness of input data, the model assumptions and parameters, the accuracy of the model calibration, as well as of qualitative or expert adjustments, etc; review outcome, impact, or benchmark analyses; perform model robustness analysis and identify and evaluate model limitations; document the assessment to required standards; interact and discuss with stakeholders (model developers as well as senior model owner and model governance bodies)
Minimum Requirements: a Master or PhD degree in mathematics, physics, financial mathematics or statistics; at least 5 years of direct and relevant experience in market risk modelling, spent in a model development and/or model validation role; expertise in both theory (methodology) and implementation of market risk models; expert knowledge of risk factor modelling approaches (eg. historical simulation), PL representations and approximations; expertise in derivative valuation models, from stochastic calculus to implementation of pricing algorithms (Monte-Carlo, PDE, Trees), and good understanding of portfolio effects (covariances, basis risks, etc); expert knowledge of financial markets and the regulatory landscape; fluent in English, oral and written

Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI); Bremen, Germany

Published: September 21, 2018   16:36

     
                              
Duration: 2+ y
Duties: Entwicklung und Erweiterung von Simulationsumgebungen. Erstellung und Bearbeitung von Roboter- und Umgebungs-Modellen. Modellierung von Simulationsmodellen. Entwicklung einer geeigneten Methodik zur Generierung und Datenformaten zur Repräsentation von Simulationsmodellen. Programmierung, Pflege und Erweiterung von Software-Tools zur Simulation und Erstellung von Simulationsmodellen. Integration von Simulationsumgebungen in CAVE-ähnliche Leitstand-Systeme
Minimum Requirements: Abgeschlossenes technisches Studium. Sehr gute Kenntnisse in C/C++ und Python Programmierung. Erfahrung in der Einarbeitung in fremden Code. Fundierte Kenntnisse in Netzwerk-Kommunikation. Möglichst Kenntnisse in Qt, OpenSceneGraph (OSG). Von Vorteil wären Kenntnisse mit Physik Engines (ODE oder Bullet) und Erfahrung in der Erstellung von 3D Modellen (Blender oder 3D Studio) sowie der Umgang mit CAD Software (z.B. SolidWorks oder Inventor). Kenntnisse in der Administration von Windows und Linux (Ubuntu). Erfahrungen und Spass am Aufbau, der Erweiterung und Wartung von komplexen VRAnlagen sind wünschenswert. Eigenverantwortlicher Arbeitsstil sowie engagierte und teamorientierte Arbeitsweise. Gute Englischkenntnisse in Wort und Schrift. Freude an der Arbeit in einem dynamisch wachsenden, jungen Team

University of Macau (UM); Taipa, Municipality of das Ilhas, Macao

Published: September 21, 2018   16:18

     
                              
Department: Engineering, Science and Mathematics
Duration: 3 y
Duties: The Faculty of Science and Technology invites applications for the position of UM Macao Fellow equivalent to Lecturer in the academic staff system on a 3-year contract basis in the following disciplines: Civil and Environmental Engineering; Computer and Information Science; Electrical and Computer Engineering; Electromechanical Engineering; Mathematics
Minimum Requirements: Macao permanent resident; Master’s degree holder or above
Preferred Requirements: Doctoral degree holder from a reputable university is strongly preferable

Dublin City University (DCU); Dublin, Leinster, Ireland

Deadline: October 12, 2018 | Published: September 21, 2018   16:05

     
                              
Department: School of Computing
Duration: 1 y
Duties: To contribute to literature reviews and the development of the research design. To collect and collate the research data. To analyse and support the interpretation of the research data. To maintain accurate project records and project confidentiality. To contribute to academic articles, conference papers and other publications. Conduct a specified programme of research under the supervision and direction of the Principal Investigator which will ensure that all aspects of the Euromath project meet the highest standards of accessibility. The successful applicant will also be responsible for engaging with teachers and students to ensure that the project outputs meet their needs and requirements
Minimum Requirements: Applicants should have a PhD in a relevant discipline, evidence of strong empirical research skills and a knowledge of some of the relevant academic literature on accessibility, and access to mathematics/STEM for blind and vision-impaired people. The candidate must have strong programming skills, as writing code will be an key component of this work. Candidates should have skills in the design, management and conduct of research, a high level of interpersonal skills, team working skills, report writing, time management skills and ability to work to deadlines
Preferred Requirements: In addition, it is desirable that the candidate has experience in the related domains of general universal design, Web accessibility, usability and/or user experience

Università degli Studi di Bari Aldo Moro; Bari, Puglia, Italy

Deadline: October 17, 2018 | Published: September 21, 2018   15:27

     
                              
Workload: 100%
Duties: This activity involves the development and implementation of machine learning algorithms for the study of heterogeneous data obtained from satellites. A study will be carried out using "classical" machine learning techniques which will provide for the extraction of the topological features of data and training and validation of the implemented algorithms. Furthermore, deep learning techniques will be used through the tools most used by the world community such as TENSOR FLOW and KERAS
Minimum Requirements: Early stage researcher or 0-4 years (Post graduate)

Universität Duisburg-Essen (UDE); Nordrhein-Westfalen, Germany

Deadline: December 14, 2018 | Published: September 21, 2018   15:04

     
                              
Department: Fakultät für Gesellschaftswissenschaften/Public Policy und Landespolitik
Duration: 1 y       
Workload: 66%
Duties: Auswertung einschlägiger textdatenbasierter Forschung; Identifikation für die Migrations- und Integrationsforschung relevanter Textressourcen; Entwicklung von Verfahren zur maschinellen Aufbereitung von Textdaten; Entwicklung von Standards für die nachhaltige Datenhaltung; Umsetzung von Verfahren des Text Mining (u.a. datengeleitete Entwicklung von Diktionären, Machine Learning, Klassifikationsverfahren); Mitarbeit bei der Vorbereitung und Durchführung von Workshops
Minimum Requirements: Abgeschlossenes Hochschulstudium im Politikwissenschaft, Informatik oder Computerlinguistik (min. 8 Semester); Guter oder sehr guter Studienabschluss; Fundierte Kenntnisse in der quantitativen Textdatenanalyse; Kenntnisse im wissenschaftlichen Programmieren (vorzugsweise in R); Fähigkeit zu eigenverantwortlicher und selbständiger Arbeit; sichere mündliche und schriftliche Kommunikation auf Deutsch und Englisch

Swiss Center for Electronics and Microtechnology (CSEM); Neuchâtel, Switzerland

Published: September 21, 2018   14:58

     
                              
Duties: Entwicklung von modernen Robotikapplikationen und Strategien für das intelligente Greifen. 3D Bildverarbeitung für die industrielle Qualitätskontrolle. Anwendung und Umsetzung von modernen Konzepten der Regelungstechnik. Arbeiten in ESA/Space Projekten. Verantwortlichkeit für die Betreuung und Weiterentwicklung von bestehenden Installationen bei Kunden. Mitgestaltung der internen Forschungsroadmap. Mitwirkung in interdisziplinären Projekten. Interaktion mit Kunden und Forschungspartnern auf nationaler und internationaler Ebene
Minimum Requirements: Sie verfügen über einen Master oder PhD in Maschinenbau oder Elektrotechnik (Fokus Regelungstechnik, Robotik, Vision). Sie haben Expertenwissen in einem oder mehreren der folgenden Bereiche: Regelungstechnik, Vision, Robotik, Smart Grasping, Deep Learning für Robotik. Sie besitzen fundierte Kenntnisse in folgenden Bereichen: Robotersteuerungen (Kuka, Stäubli, Comau), Simulation, Realtime System. Sie kennen eine oder mehrere der folgenden Programmiersprachen: C#, OpenCV, Matlab/Simulink; Java, C++, SPS, PointCloud. Sie arbeiten strukturiert und haben eine analytische Vorgehensweise. Sie zeichnen sich durch eine schnelle Auffassungsgabe und kreative Ideen aus. Sie kommunizieren offen und arbeiten gerne in interdisziplinären Teams. Sie beherrschen Deutsch und Englisch in Wort und Schrift, Französischkenntnisse sind von Vorteil

Your Search Results [1830] You might also be interested in ... [2018]

1830 Jobs found
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