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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
Prof. Dr. Eberhard Bodenschatz, who directs the Laboratory for Fluid Physics, Pattern Formation and Biocomplexity (LFPB). We are an international research institute conducting both experimental and
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(SDPs). You will design climate change mitigation scenarios that respect both climate targets and sustainable development goals using the REMIND model, one of the world’s leading integrated energy-economy
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location in Müncheberg as PostDoc Minor Crops (f/m/d) Your tasks: synthesize existing agronomic knowledge on minor crops (e.g. chickpea, lentil, buckwheat, grass pea) design agroecological practices and
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will design climate change mitigation scenarios that respect both climate targets and sustainable development goals using the REMIND model, one of the world’s leading integrated energy-economy-climate
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characterization of interface deformation mechanisms, including advanced SEM and TEM methods Finite Element Modeling to design and optimize micromechanical testing geometries Timely dissemination of research
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with list of publications One, or ideally, two contacts for reference letters Relevant certificates (with German recognition if applicable) Applications completed on or before July 11, 2025 will receive
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Participation in experiments as well as design and construction of instruments and/or sample environments with practical work at neutron sources Supervision of MSc and BSc students Presentation of research
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
employs about 300 people. We are part of the Göttingen Campus, a collaboration between the university and non-university research institutions. The Laboratory for Fluid Physics, Pattern Formation and
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under small temperature gradients (ΔT ≤ 30 K). Design and Optimize novel fabrication techniques to achieve high packing densities in thermoelectric generators (TEGs) for powering IoT sensor networks
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, computational drug repurposing, and de novo design of novel protein-based therapeutics. Our work also includes developing gene editing strategies to correct or inactivate mutations associated with severe