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Green Deal and the lignite phase-out. Funded by the German Federal Ministry of Education and Research, the project focuses on two central aspects: accelerated technology development and the sustainable
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opportunities Requirements: Ph.D. in Biology, Physics, Computer Science, or a related field with prior expertise in: Genomics, population genetics, and evolutionary biology Sequence alignment and next-generation
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Laboratory, the medical campus Mannheim, and the Central Institute of Mental Health Mannheim. The life science and engineering campus at Heidelberg University offers a network of core technology platforms
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Laboratory, the medical campus Mannheim, and the Central Institute of Mental Health Mannheim. The life science and engineering campus at Heidelberg University offers a network of core technology platforms
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Postdoc position: mechanisms of autoimmunity & autoinflammation in inborn errors of immunity (m/f/d)
health at the highest level. In the science ranking (LOMV) and in the economic result, the UKB is number 1 of the university hospitals in NRW and in 2021 had the third highest case mix index
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for networking with colleagues and pursuing sports alongside work Interdisciplinary data science and applied bioinformatics in a highly productive research project Extensive further training offer A wide range of
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research project at a challenging frontier of science Friendly and intellectually stimulating work environment Opportunity to shape your independent research profile Opportunity to extend your network
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challenging frontier of science Friendly and intellectually stimulating work environment Opportunity to shape your independent research profile Opportunity to extend your network, locally and through generous
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, we are seeking a highly motivated Postdoctoral Researcher with a background in molecular biology, biochemistry, or bioinformatics to contribute to our work in developing novel therapeutic approaches
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
developing scalable machine learning models for applications in materials science. Your tasks include contributing to the development of the Materials Learning Algorithmssoftware package and applying machine