256 phd-mathematical-modelling-population-modelling Postdoctoral positions in Germany
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- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr
- Ruhr-Universität Bochum
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 2 months ago
the atmospheric composition of directly imaged planets and brown dwarfs using medium/high-resolution spectroscopy at a population level; developing high-resolution observation and analysis techniques to reveal 3D
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are looking for: a highly motivated researcher with at least 3 years of research experience (possibly as part of the PhD) in a field related to mathematical analysis of partial differential equations (PDEs
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11.04.2025, Wissenschaftliches Personal The research group Cyber-Physical Systems of Prof. Matthias Althoff at the Technical University of Munich offers a PhD/Postdoc position in the area of
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generation of stem-cell derived models, these platforms open new avenues to systematically explore tissue self-organization and disease mechanisms. The group of Prof. Bausch is establishing an automated cell
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by Prof. Dr. Matias Simons is recruiting a motivated postdoc to lead research projects in lipid cell biology and metabolism with the help of the Drosophila model. The mission of the Nephrogenetics
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in Canada, USA, Sweden and the Netherlands. At the University of Hamburg the PostDoc will work in a team consisting of senior scientists, PostDocs, as well as a PhD student and technician hired through
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Professorship for Analytical Biochemistry, which belongs to the University of Greifswald’s Faculty of Mathematics and Natural Sciences, there is a job vacancy, subject to the allocation of funds, expected to be
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 2 months ago
of Oldenburg Your Profile PhD in marine ecology, finalized by the start of the project Advanced statistical modeling skills including analysis of biodiversity time series and functional traits, evidenced by
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of results in scientific journals Requirements PhD in Physics, Engineering, Economics, Environmental Sciences, Mathematics, System Sciences or a related field training in formal, quantitative methods
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adaptive robotic strategies. The work will involve the integration of: Advanced motion planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models