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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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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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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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or the willingness to acquire this at the beginning of the position Good statistical and methodological skills; experience in independently analysing empirical data (e.g. with R, Python or Mplus
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high-quality standards Confidence in the use of statistical modeling techniques and software (R or MPlus). This includes methods like panel data analysis, hierarchical models, spatial analysis
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statistical as well as communication skills are required. Working environment Apart from working closely with group members at the Kiel Institute, the successful candidate will liaise with external partners and
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application of comparative genomic methods to discover differences in genes and gene expression, and the use of statistical approaches to link phenotypic to genomic changes. Our lab is part of TBG (https
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knowledge of plant physiology, especially in phytohormone signaling and/or plant nutrition. Skills in statistics and the use of R are beneficial. You fit to us: If you are able to work collaboratively