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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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, 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
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Familiarity with statistics and programming experience in Python are advantageous Strong intention to be a part of international team with interdisciplinary questions We offer: An interesting and vibrant field