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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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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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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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, 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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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
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Biology or related field Demonstrated experience in experimental work Experience with molecular/genomic techniques would be advantageous Strong statistical or bioinformatic skills Collaborative team player
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. M. Hintermüller, Dr. C. Geiersbach, Dr. P. Dvurechensky in Research Group “Stochastic Algorithms and Nonparametric Statistics”, and Dr. A. Kannan at Humboldt University of Berlin. Please direct
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approaches. Publish results in high-impact journals. Your qualifications and skills: You hold a Master's degree (or equivalent) in mathematics, statistics, biostatistics, bioinformatics, plant breeding