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Generali Versicherungen (Generali); Adliswil, Zürich, Switzerland

Deadline: August 23, 2018 | Published: June 24, 2018   10:00

     
                              
Department: Risikomanagement
Duties: Berechnung der Kapitalanforderungen des Lebensversicherungsgeschäfts gemäss Generali-internem Modell und Standardmodell für den Swiss Solvency Test (SST); Interne Risikobewertungen sowie Asset-Liability-Analysen; Direktes Reporting an das Management und die Versicherungsaufsicht FINMA; Weiterentwicklung der Berechnungsmethoden, inkl. Automatisierung; Mitarbeit beim Modellgenehmigungsprozess; Fachliche Diskussionen mit der FINMA zu Modell, Berechnungen und Reporting
Minimum Requirements: Fach-/Hochschulabschluss in mathematischer Richtung; Mindestens 3 Jahre Berufserfahrung im Leben-Geschäft; SST-Kenntnisse; Reporting-Erfahrung; Programmier-Affinität (u.a. R, VBA), Erfahrung mit Prophet von Vorteil; Sehr gute Deutsch- und gute Englischkenntnisse in Wort und Schrift

Alexander von Humboldt-Stiftung (AvH); Germany

Published: June 24, 2018   09:59

     
                              
Duties: 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

Deloitte & Touche GmbH Wirtschaftsprüfungsgesellschaft (Deloitte); Frankfurt am Main, Germany

Published: June 24, 2018   02:42

     
                              
Duties: Anwendungen und Weiterentwicklungen von quantitativen Methoden zur Bewertung von Finanzinstrumenten. Implementierung von Methoden aus den Bereichen Artificial Intelligence, Machine Learning und Big Data zur Analyse von grossen Portfolien aus Finanzinstrumenten und der Digitalisierung und Automatisierung der zugehörigen Prüfungsroutinen. Mitarbeit bei aktuellen Bewertungs- und Prüfungsaufgaben
Minimum Requirements: Abgeschlossenes Studium der (Wirtschafts-) Mathematik, (Wirtschafts-) Informatik, Physik oder Wirtschaftwissenschaften mit dem Schwerpunkt Finanzen. Idealerweise Vertiefungsfächer in den Bereichen Machine Learning, Artificial Intelligence, multivariate statistische Verfahren, Ökonometrie, Operations Research oder Finanzmathematik. Gute Studienleistungen und analytische Fähigkeiten. Verhandlungssichere Deutsch- und sehr gute Englischkenntnisse. MS-Office, ausserdem Programmierkenntnisse wünschenswert. Kommunikationsstärke, Teamgeist sowie eine lösungsorientierte, eigenverantwortliche und selbstständige Arbeitsweise

The Hong Kong Polytechnic University (PolyU); Hung Hom, Kowloon, Hong Kong

Published: June 23, 2018   16:40

     
                              
Department: Civil and Environmental Engineering
Duration: 1 y       
Workload: 100%
Duties: The appointees will assist the project leader in the research project – “Development of smart mobility platform for connected environment”. They will be required to conduct data-mining related to intelligent transportation systems
Minimum Requirements: A doctoral degree or an equivalent qualification and must have no more than three years of postqualification experience at the time of application; and relevant experience in transportation engineering, data analytics, probabilistic methods or machine learning

Royal Melbourne Hospital (RMH); Melbourne, Victoria, Australia

Deadline: July 12, 2018 | Published: June 23, 2018   16:37

     
                              
Workload: 100%
Duties: The primary role is to provide high quality biostatistical research and training support to clinical and non-clinical researchers in a collaborative environment. The recent commissioning of electronic medical records in Royal Melbourne Hospital creates exciting opportunities to engage in clinical and health services research. The successful applicant will contribute in design and analysis of clinical studies, undertake clinical epidemiological and biostatistical research, provide biostatistical consulting to clinical and basic science researchers, and participate in associated activities such as research supervision and mentoring
Minimum Requirements: Master’s degree in Biostatistics or Statistics with minimum of two years of experience in clinical research. Strong methodological background in the fields of clinical trials/clinical epidemiology and clinical biostatistics. Strong statistical programming skills, with programming expertise in at least two of the standard software packages: SAS, STATA & R
Preferred Requirements: Candidates with PhD degree in the areas of clinical biostatistics or applied statistics will be preferred

The MathWorks, Inc.; Hyderabad, India

Published: June 23, 2018   16:36

     
                              
Department: Product Development
Duration: 6 m       
Workload: 100%
Duties: Develop HDL friendly architectures and implementations for Signal processing and Communications algorithms for FPGAs and ASICs. Participate in reviews of HDL algorithms, architectures and implementations proposed by other developers
Minimum Requirements: Candidates must be pursuing a master's level or a PhD level degree in a technical discipline. Programming experience in HDL's. Experience in MATLAB. Experience in Signal processing and Communications design. Experience in VHDL and/or Verilog and HDL simulators. Experience in FPGA and ASIC implementations

University of Kent; Canterbury, Kent, United Kingdom

Deadline: July 9, 2018 | Published: June 23, 2018   16:36

     
                              
Department: School of Sport and Exercise Sciences
Duration: 6 m       
Workload: 100%
Duties: You will develop an “athlete performance passport” which can be used to monitor an athlete's competition results on a longitudinal basis in order to reveal suspicious performance improvements indicative of doping. The main objective of such an "athlete performance passport" would be to distinguish between expected, and somehow disproportionate, improvements in sporting performances using signal analysis of time series and artificial intelligence (AI) approaches (e.g. data mining/analytics, machine learning, and information retrieval)
Minimum Requirements: A PhD (or nearing completion of study for one) or equivalent, in Computer Science, Mathematics, or a closely related discipline, especially with research interests in practical applications of AI technologies (e.g. data mining, machine learning, information retrieval, data analytics and statistics), data science, information science, or other related topics. An In-depth knowledge and hands-on experience with practical applications of AI related technologies and excellent Matlab and/or R programming skills. Experience of presenting to professional and/or academic audiences

Strayer University; North Austin, United States

Published: June 23, 2018   16:28

     
                              
Workload: part-time
Duties: Provides quality education and maintains high standards of academic excellence in teaching assigned courses in discipline. Conducts office hours as assigned. We are currently in search of a passionate professor for an on-ground graduate level Mathematics class for the upcoming Fall quarter, starting October 1, 2018
Minimum Requirements: Master's degree in Mathematics, Statistics, Applied Mathematics, Math Education, or Physics

Natural Environment Research Council (NERC); Swindon, England, United Kingdom

Deadline: July 11, 2018 | Published: June 23, 2018   16:18

     
                              
Department: British Geological Survey
Workload: 100%
Duties: Engage with data standards development work with EU JRC/UK Location/Scottish SDI – working with committees agreeing standards for spatial data exchange and applying them to a geoscience context; engage in OneGeology – defining standards for data sharing and helping countries use these standards to make their data available in compatible formats and integrate in to OneGeology; engage with global committees such as RDA to develop initiatives, standards and architectures for data sharing; engage with international committees such as CGI developing international vocabularies and ontologies to promote data interoperability across the geosciences
Minimum Requirements: Postgraduate degree (MSc) or equivalent work experience; an enthusiastic learner able to pick up new skills quickly; must show potential to effectively manage multiple simultaneous tasks, demonstrate problem solving ability and work in a flexible manner

Johns Hopkins University (JHU); Baltimore, Maryland, United States

Published: June 23, 2018   15:52

     
                              
Department: School of Medicine
Workload: 100%
Duties: Contribute to the statistical design and analysis activities of multiple clinical studies and research projects by providing substantial and important recommendations to the design and methodologies used. Perform quantitative and qualitative data analyses and interpretation of study data. Collaborate with biostatisticians and investigators to write reports, generate charts, tables, and figures, and presentations of the research findings for dissemination (posters, presentations, manuscripts). Conduct literature reviews and summarize findings. Function largely independently to solve problems posed by clinical investigators with supervision of BIOS leadership and biostatisticians and collaboration on methodologic research with faculty
Minimum Requirements: Master degree. Minimum of one year of related experience. Proficiency with the statistical methods and programming packages. Demonstrated ability on significant graduate project or additional doctoral education may substitute for some experience to the extent permitted by the JHU equivalency formula. Expert knowledge in programming reproducible statistical code for procedural-oriented statistical languages. Ability to work independently, solve problems as they arise, as well as effectively communicate and collaborate in a team environment

Centene Corporation; Woodland Hills, Chicago, United States

Published: June 23, 2018   15:51

     
                              
Workload: 100%
Duties: Conduct analysis, pricing and risk assessment to estimate financial outcomes. Provide expertise and technical support in matters related to the successful and financially sounds operations of the company's health plan businesses
Minimum Requirements: Bachelor's degree or equivalent experience. 5+ years of actuarial experience. Fellow or Associate of the Society of Actuaries. Member of American Academy of Actuaries

PricewaterhouseCoopers LLP (PwC); Tampa, United States

Published: June 23, 2018   15:29

     
                              
Workload: 100%
Duties: The Cross Line of Service Management Reporting team is responsible for developing the Reporting strategy and producing and analyzing all reports related to Finance operations, Clients, Markets and Sectors, Line of Service (LoS) Finance and Leadership & Management reports. This team is responsible for maintaining a strong relationship with LoS Finance Leadership, Firmwide Finance Leadership, US Financial Services Leadership, and the Budget & Analysis Team to assess and deliver on the needs of the organizations and is responsible for developing a sustainable governance structure and standardized reporting across all reporting segments and LoS
Minimum Requirements: Bachelor's degree or more than 4 years of experience in Finance or IT Technology. Minimum 2 years of experience

Massachusetts General Hospital (MGH); Boston, Massachusetts, United States

Published: June 23, 2018   14:07

     
                              
Department: Medical Practice Evaluation Center
Workload: 100%
Duties: The Cost-Effectiveness of Preventing AIDS Complications (CEPAC) group within the Medical Practice Evaluation Center has an opportunity for an enthusiastic and energetic individual to join our research team investigating the clinical and economic value of alternative strategies of HIV treatment and prevention, as well as modeling other diseases
Minimum Requirements: PhD or ScD in Operations Research, Decision Science, Systems Engineering and Uncertainty Quantification, or related area. • Minimum of 7 years of research experience (inclusive of graduate studies). • Capacity to manipulate large amounts of data and outstanding judgment with regards to study design and protocols. • Ability to work with mathematical models, including Markov and Monte Carlo simulation models, compartmental and agent-based epidemiological models, as well as deterministic and probabilistic sensitivity analysis, and ability to solve technical problems in these areas. • Facility with SAS and ACCESS data and R, python or other statistical software

Rutgers, The State University of New Jersey (RU); New Jersey, United States

Published: June 23, 2018   14:07

     
                              
Department: Office of Clinical Affairs
Workload: 100%
Duties: Responds to internal and external requests for data. Maintains the RHG Practice Operations Dashboard (financial and operational data for all RHG practice divisions) and other databases; coordinates and communicates with practice division point people to continually refine, improve, and advance RHG data presentations, so they can be easily understood by diverse audiences. Collaborates with various departments, practice groups and organizations in order to perform data mining and querying functions on large healthcare-related data sets
Minimum Requirements: Bachelor’s Degree in Computer Science, Mathematics, Statistics, applied social sciences or a similar field plus a minimum of three (3) years of professional experience that demonstrates knowledge and understanding of healthcare-related data for: reporting to external stakeholders, data analysis, and report generation; and meeting accountability and assessment requirements of a healthcare organization. Equivalent education, experience and/or training may be substituted for the degree requirements. Experience with healthcare and clinical data (patient data, quality data, claims), as well as an understanding of electronic medical record system data collection and reporting
Preferred Requirements: Master’s Degree in Computer Science, Mathematics, Statistics, applied social sciences. Five years Professional Experience

Ronald Reagan UCLA Medical Center; Los Angeles, California, United States

Published: June 23, 2018   13:54

     
                              
Workload: 100%
Duties: UCLA Institute of Precision Health and DGIT are looking for an experienced and creative bioinformatician with solid scripting skills. We are looking for a candidate with strong AWS, IaaS, Linux systems administration, HPC experience, who can leverage their expertise to provide investigators and data scientist the computing environment they need to make an impact in medical care by advancing our understanding of the role of the human genome in disease. While the primary responsibilities will focus around the compute infrastructure, you will have opportunities to contribute in the development of new bioinformatics software and genomic analysis pipelines
Minimum Requirements: BS or higher in computational biology, human genetics, bioinformatics, computer science, or related field, or equivalent experience. The candidate must have 2+ years experience analyzing big data on the order of tens of millions of records. The candidate must have 2+ years experience working with genomic data and building genomic and bioinformatics pipelines. The candidate must have demonstrated proficiency working in AWS and distributed computing environments. The successful applicant must have strong programming skills: shell scripting, Python, Perl, C++, SQL and Java are preferred. Proficient in one of the programming language such as PHP, Perl, Python, R; and proficient in Unix/Linux OS and shell scripting

Children's Hospital of Philadelphia (CHOP); Philadelphia, United States

Published: June 23, 2018   13:53

     
                              
Workload: 100%
Duties: The primary responsibility of this Research Associate will be data management and statistical analysis on studies focused on social and environmental factors that affect birth outcomes. Other responsibilities include coordination of data sharing, as well as assist with administrative tasks related to ongoing projects. In summary, the Research Associate will assist Principal Investigator with writing study protocols, preparing IRB applications and conducting basic statistical analysis, as well as preparing results (charts, tables, etc), manuscripts and presentations
Minimum Requirements: Masters of/in Public Health or Epidemiology. 5 - 7 years of experience in clinical research/project management
Preferred Requirements: Doctoral Degree. 1 - 2 years of related experience. Master's degree in Public Health, Epidemiology, or Biostatistics. Proficiency in MS Word, Excel, PowerPoint. Access as well as programming in SAS and/or R. Familiarity with ArcGIS is desired, but is not required. Strong interpersonal skills and effective oral and written communication skills are necessary. Attention to detail along with strong organizational skills and the ability to work independently are essential. Flexibility, the capacity to manage multiple tasks and openness to feedback are required

Karolinska Institutet; Solna, Stockholm, Sweden

Deadline: August 13, 2018 | Published: June 23, 2018   13:52

     
                              
Department: Neurobiology, Care Sciences and Society
Workload: 100%
Duties: This position implies a central role in the development of the e-infrastructure. Advanced statistical skills will be necessary for the harmonization of the data and for data analysis. This position requires close interaction with researchers, data providers, and local database administrators to get information in and out of the system for continued processing, analysis, and interpretation by statistical experts and researchers. Your daily work will be a mix of system development, maintenance of existing systems, system communication, data handling and manipulation (edit/transform, load, extract), and statistical strategy for harmonization
Minimum Requirements: At minimum a bachelor degree in a quantitative discipline (e.g. engineer, statistics). Work experience in data analysis or related field (e.g. as a statistician, data scientist). Experience with multiple statistical software (e.g., R, Stata, Mplus)
Preferred Requirements: Master or doctoral degree in a quantitative discipline. Experience with machine learning on large datasets. Experience of working with tools for secure handling of sensitive information (i.e. encryption). Experience with database languages (e.g., SQL). Good oral and written communication skills in English

Hiroshima University; Hiroshima, Hiroshima Prefecture, Japan

Deadline: July 31, 2018 | Published: June 23, 2018   13:46

     
                              
Workload: 100%
Duties: Undergraduate level (general education courses): Introductory Seminar for First-Year Students, etc. Undergraduate level (discipline specific courses): Mathematics for the Elementary School, Teaching Method of Arithmetic for the Elementary School, Lecture on Learning-materials of Mathematics, Introduction to Theories of Arithmetic for the Elementary School, Curriculum Development for the Elementary School, Introduction to Primary School Teaching Practice, Observation of Teaching Practice in Elementary School, Research Methods in Elementary School Curriculum I, II, Field Studies on Community Education I, II, Practical Seminar for the Teaching Profession, Graduation Thesis, etc
Minimum Requirements: Hold a doctorate or an equivalent degree, or equivalent scholarly achievements. Hold a good record of scholarly achievements in Mathematics Education in the Elementary School. Be able to teach classes and supervise students in Japanese and English
Preferred Requirements: It’s desirable to have experience of teaching either at elementary school, secondary school, or institute of higher education. It’s desirable to have experience of supervising master’s theses and/or doctoral dissertations

University of Bristol; Bristol, United Kingdom

Deadline: July 22, 2018 | Published: June 23, 2018   13:46

     
                              
Department: Bristol Medical School
Duration: 1 y       
Workload: 100%
Duties: The Integrative Epidemiology Unit are seeking to recruit a talented individual to develop causal inference tools for epidemiology using Bayesian or other advanced statistical methodology. The goal is to leverage recent advances in databases of Genome Wide Association Studies (GWAS) results, such as MR-Base to improve understanding of the causal structure between genes and phenotypes, and between exposures and phenotypes. This position involves the development of methodology for performing causal inference in genetics using instrumental variables via Mendelian Randomisation, incorporating additional information such as the known effects of genetic loci (via MR Base) and population structure
Minimum Requirements: PhD (or have submitted the thesis) in Statistics/Biostatistics, Epidemiology, Bioinformatics, Computer Science or other relevant discipline with strong quantitative research background; track record of producing high quality research appropriate to the time spent in a research environment. • Working knowledge of statistics. • Experience with data analysis. • Programming skills in R, C, C++, perl, python or other appropriate scientific computing language. • Interest in epidemiology and genetics
Preferred Requirements: Experience working with large scale genetic datasets. • Knowledge of epidemiology, genetics or bioinformatics. • Knowledge of Bayesian statistics. • Knowledge of Machine learning or algorithms theory. • Knowledge of causal inference using instrumental variable methods. • Experience with collaborative coding

The University of Hong Kong (HKU); Pokfulam, Southern District, Hong Kong

Published: June 23, 2018   13:45

     
                              
Duration: 2 + y       
Workload: 100%
Duties: Applications are invited for tenure-track appointment as Associate Professor/Assistant Professor in Bioinformatics in the Department of Statistics and Actuarial Science jointly offered by the Faculty of Science and the Li Ka Shing Faculty of Medicine, to commence on January 1, 2019 or as soon as possible thereafter. This is a joint appointment between the Department of Statistics & Actuarial Science of the Faculty of Science and the Faculty of Medicine, with the former as the home department
Minimum Requirements: Applicants should possess a Ph.D. degree in Statistics/Biostatistics/Computer Science with knowledge in Bioinformatics/Biology, and research areas including but not limited to big data analytics, biostatistics, bioinformatics, genomics, proteomics, and public health

University of Essex; Chelmsford, United Kingdom

Deadline: July 16, 2018 | Published: June 23, 2018   13:40

     
                              
Duration: 3 y       
Workload: 100%
Duties: The University of Essex in partnership with Cognitran Ltd offers an exciting opportunity to a graduate to utilise machine learning to analyse vehicle data and provide automotive OEMs with tools to predict failures and facilitate faster repairs, leading to cost savings and improved customer satisfaction
Minimum Requirements: BSc or equivalent first degree in Computer Science, AI or a related discipline. Good theoretical and applied knowledge of techniques in machine learning, e.g. collaborative filters, context-aware collaborative filters or recommender systems. Experience of working with structured and unstructured data. Demonstrable proficiency in general purpose programming languages such as Python, Java or C#

Uppsala University; Uppsala, Uppland, Sweden

Deadline: July 3, 2018 | Published: June 23, 2018   13:37

     
                              
Department: Information Technology
Duration: 2 y       
Workload: 100%
Duties: The EU CRUNCH project will strengthen urban planning and knowledge sharing between cities and stakeholders through creating an interconnected knowledge platform (an Integrated Decision Support System - IDSS), to guide and improve robust decision making on future urban development. The project solutions will be implemented in the Urban Living Labs (ULLs) in participating cities, including Southend-on-Sea, Uppsala, Eindhoven and Gdansk; Miami and Taipei. CRUNCH will lead to a comprehensive platform solution that can provide deep knowledge and facilitate experience sharing between cities, foster innovation and cost-effectiveness across the ULLs
Minimum Requirements: Qualified applicants should have a Ph.D. degree. The degree should typically have been obtained not more than three years ago. The applicant should have a strong background in data analytics and machine learning. Good programming skills (e.g. web programming, software programming) and communication skills are required in this project
Preferred Requirements: Experience with smart cities and urban computing will be favorable

Massey University; Wellington, New Zealand

Deadline: July 20, 2018 | Published: June 23, 2018   13:33

     
                              
Duration: 1 y       
Workload: 100%
Duties: The position will involve the following duties in the national Environmental Health Indicators programme: leading specific domains of environmental health indicators depending on experience and expertise; producing information for the public and stakeholders; preparing ad-hoc reports on special topics; mentoring junior staff as appropriate; giving oral presentations; maintaining relationships with our stakeholders, which include the Ministry of Health, Ministry for the Environment, the Environmental Protection Authority, District Health Boards and Public Health Units, Regional and District Councils
Minimum Requirements: It is essential you have a relevant postgraduate tertiary qualification with knowledge and experience in science, environmental health, or public health. Proficiency in using Excel is important as is having excellent written and oral communication skills

Maastricht University (UM); Maastricht, Limburg, Netherlands

Deadline: July 1, 2018 | Published: June 23, 2018   13:31

     
                              
Department: School for Oncology and Developmental Biology
Duration: 19 m       
Workload: 100%
Duties: In a context where society pushes to move away from animal testing, a logical alternative would be to use in vitro cells exposed to diverse compounds and assessment though omics platforms. However, till date, regulatory agencies (both in EU and USA) do not consider omics as a valid alternative to animal testing, mainly because of the high impact of bioinformatics analysis pipeline on the interpretation of the results of these assays. “Towards the development of an omics data analysis framework for regulatory application” project aims to develop a clear reference guideline to analyze transcriptomics dataset of 3 main platforms: microarrays, RNA-sequencing and BioSpyder Temp-O-Seq technologies
Minimum Requirements: PhD in Computational Biology, Bio-informatics, or equivalent, Strong basis in molecular statistics, bioinformatics and system biology, A project and result-oriented way of working with a planned approach, Team spirit to work in a multidisciplinary team of molecular biologists, toxicologists, bioinformaticians and computer scientists, Experience in Unix OS (including Bash script)
Preferred Requirements: Experience with ‘omics techniques (microarrays and/or next generation sequencing), possibly with proof in a publication or thesis. Strong self-motivation and drive. R language. Experience in Machine Learning will be a plus

Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (HMGU); München, Bayern, Germany

Published: June 23, 2018   13:29

     
                              
Department: Institute of Computational Biology
Duration: 3 y       
Workload: 100%
Duties: Single cell genomics is revolutionizing biology and medicine, combining the advantages of bulk sequencing techniques and microscopic analyses of single cells. Rapid technological advances now allow the profiling of genomes, transcriptomes and epigenomes at an unprecedented level of resolution. In order to fully exploit these techniques, it is necessary to constantly develop and adapt computational methods of analysis. To that end, the Institute of Computational Biology together with the Institute of Diabetes Research is looking for a joint PhD/Postdoc candidate aiming to develop computational methods while closely collaborating with wet-lab partners
Minimum Requirements: PhD/MSc degree in bioinformatics, systems biology, computer science, mathematics, physics or equivalent. Background in statistical data analysis, ideally for RNAseq data. Strong interest in biological applications. Being comfortable in interacting with colleagues in an interdisciplinary setting

Your Search Results [1224] You might also be interested in ... [4351]

1224 Jobs found
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Always show all Details