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tools and “big data” approaches with a special focus on Bayesian analysis Designing, conducting, and interpreting statistical analysis, including analysis of cohort, cross-sectional and clinical studies
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relevant experience at the interface between clinical psychology and developmental psychology. be experienced in and possess profound knowledge of statistical analysis tools, know recognised statistical
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is expected An excellent mathematical background and experience in software development is required Experience in developing and applying statistical and/or machine learning-based computational methods
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about statistical and machine learning knowledge about gene editing techniques, e.g. CRISP-Cas he/she should have experience in bioinformatics, including next generation sequencing pipelines, data
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for biological inference and clinical translation Desirable, useful skills and experience: Protein structural modelling, pharmacogenetics, drug target validation, Bayesian statistics, Mendelian randomisation
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thinking, confident demeanour, motivational skills · Excellent written and spoken English and Spanish skills · Good knowledge of Microsoft Office · Good knowledge of economic statistics and life cycle
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; experience in the use of HPC clusters) Expertise in statistical analysis, machine learning and/or data assimilation Ability to work both independently and as part of a team Very good command of written and
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Max Planck Institute for the Study of Crime, Security and Law, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 4 days ago
conducting surveys and experiments and in data analysis using R you are eager to further develop your statistical and methodological skills you are a team player: you value team work and enjoy enhancing
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theme of agriculture. Examples are Agricultural Science, Agricultural Economics, Statistics, Geoscience or related fields with a quantitative, empirical orientation and fundamental parts of agriculture