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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
, contributing to the functional interpretation of genetic variants and the modelling of immunopathological pathways. The position will be closely integrated with other computational biologists
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: Strong motivation for an interdisciplinary project that combines physics and biology together with simulation and data science and practical relevance A master`s degree or diploma and subsequent PhD in
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-scale research facilities (e.g. DESY, ESRF), including coordination and setup of experiments Development of data workflows and analysis strategies (in collaboration with our machine learning team
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members. The DKFZ is a place where the brightest minds pursue bold ideas and seek answers to pioneering scientific questions through collaboration, innovation, and exploration across many disciplines. We
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 12 hours ago
the pivotal social processes that generate health inequalities it leverages linked family-based data, natural experimental designs, genetically-informed social epidemiological data, advanced dynamic modelling
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 26 days ago
-based data, natural experimental designs, genetically-informed social epidemiological data, advanced dynamic modelling techniques, and a combination of theoretical frameworks. Our offer We provide a
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research group “Computational Integrative Biodiversity” (CIB) combines modern computational modeling with biodiversity theory as well as geohistorical and climatological data. We investigate how biodiversity
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. Depending on your profile, you can set your own focus (e.g. on scalable training, data/feature pipelines, or model development) working closely with Helmholtz Munich, MDC Berlin, and NVIDIA. You will: Set up
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-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. • Apply and further develop machine-learning and statistical models (e.g. PCA, SAM
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experimental scientists and other mathematicians to develop the tools to analyse this data and come up with measure of both information capacity and information content of brain wiring. Requirements: PhD in