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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
of ENERGY, HEALTH and MATTER, around 1,500 employees from more than 70 nations at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) are committed to mastering the great challenges facing society today. The Center
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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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Institute for Medical Research, and the German Cancer Research Center (DKFZ). Strong interactions exist via the Health + Life Science Alliance Heidelberg Mannheim with the European Molecular Biology
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information about our student assistants and their work. What you bring to the table Enrolled Bachelor's/Master's student in full-time studies in the fields of computer science, mathematics, physics, electrical
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computer science, bioinformatics, physics, engineering, computer science, statistics, mathematics) or in health science related fields (e.g. medicine, veterinary medicine, pharmacy, life sciences) is mandatory
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the lab to real-life applications, improving lives. Your work provides the foundation for scientific discoveries with real impact, shaping the future of health. The HPC Gateway project of the German
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of professional training courses and measures for skill improvement Compensation according to TV-L (including annual special payment) Contribution to your company pension plan (VBL) On-site opportunities for health
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school currently hosts doctoral researchers from various backgrounds, such as geoinformatics, computer science, geography, ecology, mathematics, and information systems. Qualification concept
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opportunities for health promotion About the institute: As a member of the Leibniz Association, the Leibniz Institute of Plant Biochemistry (IPB) is a non-university research institution on the Weinberg Campus in
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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI