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October 1, 2025. Job description: Contribute to research in subproject "C04 – In silico design of mol2Dmat heterostructures", especially in the field of halogen intercalation in graphitic materials and the
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The Climate Policy Department uses empirical and theoretical approaches to examine previous effects and future design options for policy instruments and regulatory frameworks for the transformation
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interconnectedness and cultural heterogeneity that characterize Latin America. The focus on the aspirations and anticipations of various actors whose interactions produce new temporalities of the future offers an
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quite heavily. We establish new results concerning the analysis of stochastically driven anisotropic fluids, design novel numerical simulation and optimal control schemes, and provide new means for risk
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parameters, strongly interacting systems), physics of the early Universe (dark matter, leptogenesis), physics of heavy ion collisions (quarkonium and jet suppression) and nonequilibrium physics. We deal
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of German preferred We offer: Excellent technical equipment, a wide range of experimental methods and a dynamic and interactive research environment Salary will be paid in accordance with TV-L, level 13
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 15 days ago
statement of previous research (up to three pages), and for candidates interested in the Prize Fellowship, a proposed research plan (up to five pages). Please upload all documents in pdf format. Please also
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its role in hematopoiesis over life time. We plan to employ inflammatory challenges and will combine experimental animal models with studies on human cells to translate principles and mechanisms
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Independent problem solving and systematic data-driven experimental design and execution Fluent in English, German is a plus What you can expect A multidisciplinary project with a strong focus on applied
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 2 months ago
. The successful candidate will integrate multiscale first-principles modeling, sparse symbolic regression, and adaptive experimental design in self-driving laboratory settings to elucidate both desired catalytic