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19 Sep 2025 Job Information Organisation/Company Max Delbrück Center Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Germany
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 13 days ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Starting date: 01.02.2026
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excellent reputation at home and abroad, the University of Bonn is one of the most important universities in Germany and is recognized as a University of Excellence. The Institute of Inorganic Chemistry in
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methods in AI and machine learning, contributing directly to state-of-the-art research with high industrial relevance. Your Qualifications A strong background and Master's degree in Computer Science, AI
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activity (work, studies, etc.) in Germany for more than 12 months in the last 36 months Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field
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interdisciplinary and transdisciplinary research at the interface between data science, life sciences, and bioeconomics. The professor will closely cooperate with the TUM School of Computation, Information and
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biosciences (e. g., biochemistry, biology, biotechnology, biophysics or a related field), and current enrollment in a Master's program Practical experience with basic lab techniques (such as pipetting
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degree (or equivalent) in Data Science, Computational Biology, Bioinformatics, Computer Science, Physics or a related field Solid programming skills and knowledge in deep learning, statistical modelling
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interdisciplinary field that tackles fundamental questions across all domains of population research by combining the methods and perspectives of computational sciences, social and behavioral sciences, and statistics