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interest and motivation for the position (limited to 2000 characters), The email addresses of 2–3 references who can provide a letter of recommendation. For more details about the program (including further
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the Research Group “ Numerical Mathematics and Scientific Computing“ (Head: Prof. Dr. V. John) starting September 1, 2025. The position is assigned to the research project "Randomization of Surrogates
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applications as Research Assistant Position (f/m/d) (Ref. 25/10) in the Research Group “Numerical Mathematics and Scientific Computing“ (Head: Prof. Dr. V. John) starting September 1, 2025. The position is
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, Computational Biology, Applied Mathematics or related field Interest in interdisciplinary research Applied experience with machine/deep learning methods Ability to handle multiple projects in a dynamic
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of a project with limited experimental data points? In addition, how would you combine various computational chemistry methods that can leverage data to enhance potency predictions? With your solution
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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 3 days ago
are seeking a motivated Postdoc to join an international consortium focused on genetic methods to study bacteria and archaea in ruminant livestock, significant contributors tomethane emissions. The position
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 6 days ago
Hinton ) at the Max Planck Institute for Nuclear Physics in Heidelberg (Germany) offers Postdoc positions (m/f/d). The Division is engaged in a broad programme of experimental and observational activities
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. About the project This position is embedded in the RIVIERADE project (IMPROVING MODELLING METHODS TO PRODUCE CLIMATE SERVICES FOR RESILIENT EUROPEAN SEAS AND COASTS IN A DECADAL TO MULTI-DECADAL HORIZON
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invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
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Qualifications / Experience: • A PhD in Physics, Geoscience or a related field • Proven expertise in numerical modelling using super computing clusters • Excellent knowledge of atmospheric physics • Proficiency in