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for tissue self-organization. For more information go to: https://www.bauschlab.org Your Qualification: High motivation, curiosity, and commitment to scientific excellence Master's degree (for PhD
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tasks: Designing and perform experimental studies using animal models and human cells Planning and conducting animal experiments Analyzing, document and presenting experimental data and results Actively
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Potsdam, Brandenburg | Germany | 25 days ago
Your Profile PhD in physics, glaciology, Earth and planetary sciences, meteorology, or a related field Strong background in ice-sheet and/or Earth system modeling and model development Experience in
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 10 days ago
. The start date of the position is October 2026, with some flexibility (to be negotiated). The position is limited to three years and according to current German labor law. Applicants must have obtained a PhD
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Documented expertise in developing and training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 21 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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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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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 6 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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-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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the multifactorial patterns of hearing disorders through a novel combination of knowledge- and data-driven approaches. One goal of the research area "data-driven personalization of hearing support" the position