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Università degli Studi di Brescia; Brescia, Lombardia, Italien

Publiziert: September 21, 2018   19:31

     
                              
Pensum: 100%
Aufgaben: 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
Anforderungen: Experienced researcher or 4-10 years (Post-Doc)

Penn State Milton S. Hershey Medical Center; Hershey, Pennsylvania, Vereinigte Staaten (USA)

Publiziert: September 21, 2018   18:49

     
                              
Abteilung: Radiology
Dauer: 1+1 y
Aufgaben: 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
Anforderungen: 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, Schweiz

Publiziert: September 21, 2018   17:33

     
                              
Abteilung: Risk; Corporate Center
Aufgaben: 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
Anforderungen: 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, Schweiz

Publiziert: September 21, 2018   17:31

     
                              
Abteilung: Risk; Corporate Center
Pensum: 100%
Aufgaben: 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
Anforderungen: 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, Schweiz

Publiziert: September 21, 2018   17:29

     
                              
Abteilung: Risk; Corporate Center
Pensum: 100%
Aufgaben: 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
Anforderungen: 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, Schweiz

Publiziert: September 21, 2018   17:27

     
                              
Abteilung: Risk; Corporate Center
Pensum: 100%
Aufgaben: 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
Anforderungen: 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, Schweiz

Publiziert: September 21, 2018   17:24

     
                              
Abteilung: Corporate Center
Pensum: 100%
Aufgaben: 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)
Anforderungen: 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, Deutschland

Publiziert: September 21, 2018   16:36

     
                              
Dauer: 2+ y
Aufgaben: 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
Anforderungen: 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

Publiziert: September 21, 2018   16:18

     
                              
Abteilung: Engineering, Science and Mathematics
Dauer: 3 y
Aufgaben: 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
Anforderungen: Macao permanent resident; Master’s degree holder or above
Gewünschte Anforderungen: Doctoral degree holder from a reputable university is strongly preferable

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

Frist: Oktober 12, 2018 | Publiziert: September 21, 2018   16:05

     
                              
Abteilung: School of Computing
Dauer: 1 y
Aufgaben: 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
Anforderungen: 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
Gewünschte Anforderungen: 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, Italien

Frist: Oktober 17, 2018 | Publiziert: September 21, 2018   15:27

     
                              
Pensum: 100%
Aufgaben: 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
Anforderungen: Early stage researcher or 0-4 years (Post graduate)

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

Frist: Dezember 14, 2018 | Publiziert: September 21, 2018   15:04

     
                              
Abteilung: Fakultät für Gesellschaftswissenschaften/Public Policy und Landespolitik
Dauer: 1 y       
Pensum: 66%
Aufgaben: 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
Anforderungen: 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, Schweiz

Publiziert: September 21, 2018   14:58

     
                              
Aufgaben: 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
Anforderungen: 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

University of Luxembourg; Luxembourg City, Luxemburg

Frist: November 15, 2018 | Publiziert: September 21, 2018   14:52

     
                              
Abteilung: Luxembourg Institute of Socio-Economic Research (LISER)
Dauer: 14+22 m
Aufgaben: You will be working as part of DRIVEN Doctoral Training Unit (DTU) funded by the FNR PRIDE scheme. DRIVEN will build a bridge between state-of-the-art data driven modelling approaches and particular application domains, including Computational Physics and Engineering Sciences, Computational Biology and Life Sciences, and Computational Behavioural and Social Sciences
Anforderungen: Master's degree in Engineering, Physics, Mathematics or equivalent required to pursue a PhD-study Basic knowledge of discrete element method and willingness to familiarise with XDEM (xdem.de) Good knowledge of FEM and programming Basic knowledge in machine learning e.g. TensorFlow Familiar with Ubuntu and programming in C++ Good English language skills. Willingness to familiarise with XDEM and to work in an inter-cultural and international environment. Ability to work independently and as part of a team. Curiosity and self-motivation

Mathematica Policy Research; multiple locations, Vereinigte Staaten (USA)

Publiziert: September 21, 2018   13:55

     
                              
Pensum: 100%
Aufgaben: Using behavioral science to design and evaluate program improvements. Estimating the prevalence of identity theft in the SNAP (food stamp) program. Using predictive analytics to better understand the characteristics of children and families who use child welfare and Medicaid services. Evaluating programs that provide coaching for hard-to-employ low-income populations. Examining the impacts of charter schools on students' achievement. Providing TANF agencies evidence-based technical assistance on improving their services. Providing school districts with assistance on developing approaches to strengthen the professional development of teachers and principals
Anforderungen: Ph.D. or equivalent in public policy, economics, statistics, education, psychology, sociology, demography, or a related field. Strong quantitative and/or qualitative analytical skills. Excellent written and oral communication skills, including an ability to translate complex research methods and findings for a practitioner and policy audience

Chapman University; Orange, California, Vereinigte Staaten (USA)

Publiziert: September 21, 2018   13:52

     
                              
Abteilung: Mathematics Program
Pensum: 100%
Aufgaben: Duties include teaching four Mathematics courses each semester, mentoring students and providing service to the College and to the University
Anforderungen: Requirements include a Ph.D. in Mathematics and evidence of strong commitment to undergraduate teaching. A demonstrated record of excellence in teaching is essential. Candidates in all disciplines of Mathematics are welcome to apply if they can demonstrate a proven history of success in teaching Mathematics at the undergraduate level
Gewünschte Anforderungen: All areas of Mathematics will be considered, but some specialization in Applied Mathematics or Engineering is a plus

New Jersey City University (NJCU); Jersey City, New Jersey, Vereinigte Staaten (USA)

Publiziert: September 21, 2018   13:48

     
                              
Abteilung: School of Business- Finance
Pensum: 100%
Aufgaben: The successful candidate will teach graduate and undergraduate courses in the areas of FinTech, Financial Risk Management, and Data Science at New Jersey City University’s Jersey City and Monmouth County, New Jersey campuses. Teaching responsibilities will include curriculum design and development. The successful candidate will also be expected to engage in research in the field, contribute to marketing and promoting the programs, and participate in service activities at the university
Anforderungen: Candidates should have an earned doctorate, or provide evidence that it will be completed prior to the end of AY 2019-20, in a relevant field such as Finance, Business Analytics, Computer Science, Decision Sciences, Statistics, Information Systems, etc.. A wide variety of academic backgrounds will be considered
Gewünschte Anforderungen: In extraordinary cases, as determined by the University, a terminal degree may not be required

Purdue University; West Lafayette, Indiana, Vereinigte Staaten (USA)

Publiziert: September 21, 2018   13:37

     
                              
Pensum: 100%
Aufgaben: Influencing the development and continuous improvement of processes and system software making up college-level data services that support scientific endeavors. Contributing toward extracting the highest possible value from IT investment and lowering the time to discovery by evolving the big data pipeline and analytic tools set toward ever-increasing functionality and ease of use. Consulting with and assisting faculty and graduate students in the effective use of data pipeline and analytic tools. Designing and implementing data platforms and processes to capture, integrate, analyze and distribute information to support research and discovery
Anforderungen: Bachelor's degree in Data Science, Math, Statistics, Computer Science, Computer and Information Technology or related field. 4 years of relevant experience in full-stack programming, application development, production deployment and production support. Experience using one or more established programming languages (e.g.: Java, Python, C++, C#, etc.). Proficiency in configuration and use of Linux or Unix operating systems
Gewünschte Anforderungen: Master's degree in a relevant area. Hands-on development and/or deployment and production support experience in Hadoop/Spark environment. Programming experience in Java and/or Scala, R and Python. Knowledge and experience in statistical and/or analytical algorithm implementation, data interpretation, and/or modeling. Experience in design and implementation of distributed data pipelines using tools and languages prevalent in the Spark ecosystem such as Java, Scala, R, Python, SAS, HTFS, Kafka, PSTL, Hive, Hortonworks, Python, HTFS Kafka, PSTL, Spark SQL, SparkR, pySpark, SUSE, Hortonworks, MATLAB Hadoop/Spark, NoSQL systems like HBase or Cassandra, etc

Centrum Wiskunde & Informatica (CWI); Amsterdam, North Holland, Niederlande

Publiziert: September 21, 2018   13:32

     
                              
Dauer: 3 y
Aufgaben: The aim of the vacant position is to develop fundamental and applicable solutions for agent negotiations within a new online trading platform. Depending on the interests and expertise of the candidate, the project draws on tools and techniques from multi-agent learning, preference modeling and elicitation, machine learning, automated negotiation, decision support systems, and sequential multi-agent decision-making under uncertainty
Anforderungen: The candidate is required to have a Ph.D. in computer science, artificial intelligence, mathematics, or in comparable areas. Candidates should have a clear interest in fundamental research, should be creative and solid in their research, should have interest in multi-agent systems and in the application area of negotiation and trading, and should be able to cooperate with experts from different disciplines. Candidates are expected to have an excellent command of English, experience in programming (preferably object-oriented, e.g. Java, C#), academic writing and presenting

University of Bristol; Bristol, Vereinigtes Königreich (UK)

Frist: Oktober 2, 2018 | Publiziert: September 21, 2018   13:21

     
                              
Abteilung: School of Computer Science, Electrical and Electronic Engineering and Engineering Maths
Pensum: 100%
Aufgaben: Your role would be to design a simulator to model nanoparticle dynamics (motion and interactions) in tumours. Your work may involve stochastic simulations, modelling of reaction-diffusion-convection systems, artificial evolution and machine learning, and programming of user-friendly web interface
Anforderungen: The ideal candidate will have experience in mathematical modelling or computer science and will be comfortable in crossdisciplinary settings related to biomedical research

University College London (UCL); London, Vereinigtes Königreich (UK)

Frist: Oktober 21, 2018 | Publiziert: September 21, 2018   07:06

     
                              
Abteilung: Division of Medicine
Dauer: 2+ y       
Pensum: 100%
Aufgaben: combine the underlying molecular changes in prostate cancer with novel MR techniques, T2 mapping, ADC Map and long b diffusion sequence. identify the imaging (mpMRI, T2 mapping, VERDICT and 13C Hyperpolarised MR) endotype in patients with early prostate cancer that is associated with aggressive disease to avoid overtreatment of patients. develop a methodology to estimate histology from the MRI. Using machine learning to derive precise prostate histopathological mapping of tumours from mp-MRI images. develop a new technology: Susceptibility-Based Cancer Oxygenation Mapping (SBCOM) in prostate cancer and to investigate its clinical potential to non-invasively determine prostate cancers’ hypoxic status
Anforderungen: The candidate should hold a PhD or equivalent research experience in MRI physics, biomedical engineering, or a comparable subject with good publication track record consistent with career history. Applicants close to submission of a thesis will be considered. He/She should have experience of and commitment to multidisciplinary working. Imaging experience is desirable but not essential. The successful candidate is expected to have proven ability to organise and prioritise workload, work and communicate effectively within a team environment and on own initiative

Basycon Unternehmensberatung GmbH (Basycon); München, Düsseldorf, Österreich, Schweiz, Deutschland, Liechtenstein

Publiziert: September 21, 2018   00:15

     
                              
Aufgaben: Als Einsteiger arbeiten Sie sofort in einem Projektteam mit erfahrenen Kollegen. Sie entwickeln Konzepte und Lösungen für komplexe Problemstellungen und wirken an deren Umsetzung mit. Die Bandbreite der Projekte ist gross: Vom Aufbau neuer Geschäftsfelder über Risikomanagement bis hin zu IT-Grossprojekten
Anforderungen: Sehr gut abgeschlossenes Studium in Physik, Mathematik oder Informatik (Master oder Promotion); Gute IT-Kenntnisse und Beherrschen einer Programmiersprache; Klares analytisches Denkvermögen; Sichere Präsentations- und Kommunikationsfähigkeit; Spass an stets neuen Aufgaben und Herausforderungen

Alexander von Humboldt-Stiftung (AvH); Deutschland

Publiziert: September 21, 2018   00:14

     
                              
Aufgaben: Förderung von weltweiten Forschungsaufenthalten für Wissenschaftlerinnen und Wissenschaftler aller Karrierestufen und Fachgebiete aus Deutschland. Bewerber wählen einen Gastgeber aus rund 15.000 Wissenschaftlern aus dem Humboldt-Netzwerk im Ausland

Technische Universität Berlin (TU Berlin); Berlin, Deutschland

Frist: September 30, 2018 | Publiziert: September 20, 2018   23:00

     
                              
Abteilung: Insti­tute of Com­puter Engin­eer­ing and Micro­elec­tron­ics
Dauer: 2 y       
Pensum: 100%
Aufgaben: Research activ­ity of the suc­cess­ful can­did­ate will focus on devel­op­ment of accur­ate and scal­able multi-modal remote sens­ing image index­ing and retrieval meth­ods for massive RS archives. In par­tic­u­lar, the suc­cess­ful can­did­ate will develop novel deep hash­ing net­works that will extract and exploit com­ple­ment­ary inform­a­tion among dif­fer­ent RS image mod­al­it­ies for their accur­ate char­ac­ter­iz­a­tion with small num­ber of (weakly) annot­ated images
Anforderungen: Suc­cess­fully com­pleted uni­versity degree (Mas­ter, Dip­lom or equi­val­ent) and PhD degree in Com­puter Sci­ence, Engin­eer­ing or Applied Math­em­at­ics. Deep know­ledge in the areas of machine learn­ing, deep learn­ing, remote sens­ing and/or com­puter vis­ion. A strong pub­lic­a­tion record in machine learn­ing and/or remote sens­ing journ­als and con­fer­ences in one or more of the fol­low­ing areas: Image search and retrieval. SAR, multis­pec­tral and/or hyper­spec­tral image ana­lysis. Deep learn­ing. Multi-modal image ana­lysis. Big data man­age­ment and ana­lysis. Excel­lent com­mu­nic­a­tion skills in Eng­lish. Solid pro­gram­ming skills. Highly motiv­ated and cre­at­ive

Deutsches Krebsforschungszentrum (DKFZ); Heidelberg, Baden-Württemberg, Deutschland

Frist: Oktober 7, 2018 | Publiziert: September 20, 2018   22:57

     
                              
Abteilung: Somatic Evolution and Early Detection
Dauer: 2+ y
Aufgaben: As a postdoctoral scientist in the group, you will develop methodology to learn about biological processes relating to cancer origin and evolution and you will be involved in the experimental design and analyses of genomic data, including high-depth DNA and single-cell RNA sequencing data, generated in the group. You will also have the opportunity to develop your own research projects within the scope of the group’s interests
Anforderungen: PhD degree (or equivalent) in life sciences or in a quantitative subject (e.g. Computer Science, Physics, Mathematics) with a strong interest in Biology. Coding skills and experience with next generation sequence analyses. Excellent English communication skills (written and spoken). Motivation and ability to work independently and to manage/supervise multiple projects

Ihre Suchergebnisse [1855] Es könnte Sie auch interessieren ... [1984]

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