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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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, 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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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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mathematics or a closely related field is required. Experience with some of the following topics will strengthen your application: statistical physics; critical phenomena; interacting point and particle
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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
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. You have expertise in working with large metabolomic and transcriptomic datasets using open source statistical packages such as R and python. You have solid English and German skills, which are a