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Degree Dr rer nat Dr phil Dr rer agr Course location Berlin In cooperation with Potsdam Institute for Climate Impact Research (PIK) Leibniz Institute of Agricultural Development in Transition Economies (IAMO) Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB) Leibniz Centre for...
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The LIT - Leibniz Institute for Immunotherapy (https://lit.eu ) in Regensburg, is a biomedical research center focusing on research and development of innovative immune cell therapeutics in the fields of cancer, autoimmunity and transplant rejection. The DRFZ - Deutsche Rheuma Forschungszentrum...
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Designing a standardized heating network model to test the interface Conducting thorough analyses of the simulation results Your Profile: Studying Mathematics, Physics, Computer Science, Electrical
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
communication skills to join our research team. The PhD candidate should have: A Master’s degree (or comparable) in theoretical physics, applied mathematics or related disciplines from a recognized university
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Skills/Qualifications Requirements Bachelor or higher degree in Computer Science or a similar technical field of study (e. g. Engineering, Physics or Mathematics) Minimum three years of proven experience
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: Excellent Master or subsequent PhD degree in Computer Science, Mathematics, Physics, or similar fields and industry experience Strong software-engineering fundamentals and hands-on experience with HPC systems
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The LIT - Leibniz Institute for Immunotherapy (https://lit.eu) in Regensburg, is a biomedical research center focusing on research and development of innovative immune cell therapeutics in the fields of cancer, autoimmunity and transplant rejection. The DRFZ - Deutsche Rheuma Forschungszentrum...
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and mathematical concepts underlying Data Science Strong passion for Data Science with documented experiences plus an equally strong and documented interest in biomedicine Experience with generative AI
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genetics. With guidance and supervision from both experimental and computational perspectives, this program is ideal for graduates in fields such as molecular biology, biochemistry, mathematics
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industry Clear understanding of statistical and mathematical concepts underlying Data Science Strong passion for Data Science with documented experiences plus an equally strong and documented interest in