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for Environmental Medicine led by JProf. Staerk at the IUF (Düsseldorf, Germany) is hiring a Postdoctoral Researcher (f/m/d) in the area of Biostatistics and Statistical Learning Our group focuses on the development
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researchers comment on issues beyond their area of expertise) or related topics. Your profile: MSc in psychology (very good grade) Experience in experimental research, incl. statistical analysis Strong interest
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). The institute also maintains locations in Dedelow and Paulinenaue. The in-house project CRoP-SMART (Comprehensive Research on Crop Performance: Statistical Methods for Agricultural Research and Technology) will
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relevant experience with polymer composites and polymer chemistry Knowledge of programming and statistics is desirable What we offer: Collaboration with national, international and multidisciplinary teams
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datasets, determination of ecological values based on statistical methods (e.g. PCoA, NMDS, TITAN), construction of microbial networks as well as trait-based models Presentation of project results
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, use-wear analysis, and controlled experiments. This combination of data requires a statistical tool for a transparent and reproducible workflow for data analysis and data modeling. By providing a
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data before and is in good command of statistical software (STATA, R or Python) The Kiel Institute is an equal opportunity employer with a certified family-friendly policy (https://www.ifw-kiel.de
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PostDoc in Chrononutrition (m/f/d) Department of Molecular Metabolism and Precision Nutrition (MMPN)
nutritional regulation of circadian clocks Planning and conducting of human studies in the field of chrononutrition and chronometabolic research Statistical and bioinformatic analysis of collected data and
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affinity for communication design, graphic design or interaction design basic programming skills (Java, Python or C#) and knowledge of statistical data analysis, preferably with R or Python, is expected
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of statistical data modelling is expected habitat and/or ecological modelling skills are desired knowledge of Structural Equation Models is advantageous experience in systematic data research is advantageous