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12.01.2026, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial
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desire to do high-quality research Why TUM? TUM is consistently ranked among the best universities in Europe and as the top technical university in Germany. Our group is part of the School of Computation
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of additively manufactured Mg alloys for biodegradable implant applications. Host: Helmholtz-Zentrum Hereon
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in high-performance computing, numerical simulation Fluent in written and spoken English Independent, analytical, and team-oriented working style You are independent, motivated, and passionate about
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programme culminating in either a PhD or a German Dr rer nat degree. Biomedicine The biomedicine section is involved in the study of physiological and pathophysiological processes. Research efforts focus
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-Materials-Engineering-with-focus-on-computational-optimization-of/884-de_DE/ This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual
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, research, and teaching, we bear a unique responsibility. To meet our high standards every day, we are looking forward to your scientific expertise – ideally with you on board! The position is located in
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Reference code: 50156134_2 – 2025/MO 4 Commencement date: March
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position (contract-based) and one PhD fellowship in Computational Biophysics/Chemistry (see also https://constructor.university/comp_phys). The PhD position is focused on efficient algorithms
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to an interdisciplinary team Excellent English communication skills (spoken and written); German skills are advantageous WE OFFER: State-of-the-art computing infrastructure Competitive, interdisciplinary, and international