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Field
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Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Documented knowledge of statistical theory and methods and core machine learning methods
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and prostate cancer. You will work with junior statisticians and statistical programmers to oversee delivery of trial reports. You will plan work and communicate with the Head of Group in Statistics
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could be added as the need arises. Teaching within the UofU Nuclear Program could occur if the program need arises and is mutually agreed upon. Importantly, the researcher will support achievement
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or other information assets connected to the report program. Prepare research outputs, briefing materials, public-facing content and other written products for academic, policy, industry and community
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research including data management, statistical analysis, and publication/presentation of those finding. Submit a research synopsis. Complete educational modules and coursework relevant to the approved
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teams. Job scope: • Research o Develop research questions, study designs, and analysis plans using SPHS data. o Conduct statistical analyses, longitudinal modelling, or machine learning approaches as
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training must be submitted no later than two months after taking up the position, and the admission approved within three months. For more information about the programme, see: http://www.mn.uio.no/english
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, SPM, AFNI, FreeSurfer, etc.) Experience with statistical analysis in R or equivalent Ability to work independently and develop analytical strategies proactively Strong scientific writing and
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analyzing hyperspectral data and developing machine learning models - Genetic or molecular lab experience - Bioinformatics, or statistical genetics experience - Excellent written and oral communication skills
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Education Requirements A doctoral degree in epidemiology, statistics, computer science, or a relative quantitative field Experience & Skills Requirements Expert knowledge of R or SAS Additional Qualifications