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At the Leibniz Institute for Prevention Research and Epidemiology – BIPS we have an opening in the Department of Biometry and Data Management within the Research Group “Statistical Methods
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-associated microbiomes using state of the art molecular methods! Your tasks Conducting field sampling and experiments to assess diversity and functionality of cyanobacteria-associated microbiomes Statistically
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knowledge of analysis of primary data (especially in the area of lifestyle-related disorders and metabolic biomarkers) Experience in statistical analysis of large data sets and in working with SAS and/or R
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, scientific publishing, and presentation of scientific results in the form of posters and talks at national and international conferences. The ability to statistically analyse data sets is desirable
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Experience in plant stress ecology Experience with statistics, R Interest in team work Willingness to work in Kiel during joint experiments Desirable: Knowledge in aquatic ecology, microbiology, molecular
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the field of computational statistics and data science Enhancing the existing R package "MicSim" for modelling intergenerational dynamics Creation of a simulation model at the person level with a focus on
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, dedicated and industrious PhD fellow with a keen interest in epidemiology, statistics and clinical research in the broad and fascinating field of tropical medicine. The PhD fellow will be based in Hamburg
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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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the field would be an advantage Experience in analyzing movement data would be an advantage Advanced statistical and analytical abilities (experience using R is a plus) Excellent command of
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academic track record Hands-on experience in some of the following areas is welcome: familiarity with statistics and programming experience in MATLAB or Python are important experience or strong interest in