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encourage applicants to indicate in the job portal if they have a disability, gaps in their CV, or an immigrant background. These selections in the job portal form the basis for anonymized statistics that all
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
. You will have the freedom to ask what information is contained in these data and develop the computational and statistical approaches needed to extract it. Working closely with experts in imaging
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this additional qualification.-You have strong skills in statistical, econometric and quantitative data analysis and have experience with statistical software packages; furthermore, you are keen to develop
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-on experience with biological data ● Strong Python skills and experience with PyTorch or JAX, together with the statistical grounding to reason about the models you use ● A GitHub account with code you have
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, (lab) experiment, data donation), ideally already demonstrated in your thesis or other research projects you were involved in; experience with various techniques of quantitative statistical data analysis
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of the graduate school PE&RC (https://www.pe-rc.nl/ ) through which you can follow courses on ecological subjects, research methods, statistical analyses, and transferrable skills. Terms of employment
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various techniques of quantitative statistical data analysis, experience with longitudinal analyses is a plus; experience with, or knowledge of, focus groups and analysis of qualitative data; an excellent
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structures but also free energies. The work sits at the interface of statistical mechanics, molecular simulation, and deep generative modeling, and is embedded in SIMPLAIX, a research initiative on multiscale
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Approximation calculations, whose direct use in Bayesian parameter estimation is currently computationally prohibitive. By providing a fast and statistically controlled surrogate for these calculations
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)medical or nutritional sciences.Preferably you have experience with working with large datasets in statistical software packages such as R, Python or SPSS. Proficiency in English at C1 level or higher (CEFR