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The climate needs bright minds. The Potsdam Institute for Climate Impact Research (PIK) addresses crucial scientific questions in the fields of global change, climate impacts and sustainable development. It is one of the world's leading research institutions in its field and offers natural and...
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The Leibniz Institute for Solid State and Materials Research Dresden e. V. (IFW Dresden) conducts modern materials research on a scientific basis for the development of new and sustainable materials and technologies. The institute employs an average of 500 people from over 40 nations and, in...
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Computer Science, Data Science, Physics, Mathematics, Computational Biology, or related fields. Solid experience with Machine Learning / Deep Learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn). Strong
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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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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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degree (or equivalent) in Geodesy, Physics, Mathematics, Computer Science, or a related discipline PhD or equivalent professional experience, demonstrating the ability to work independently on complex
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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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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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and software delivery within the project framework Your qualifications: Master`s degree (or equivalent) in Geodesy, Physics, Mathematics, Computer Science, or a related discipline PhD or equivalent
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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