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Description Doctoral Research Position (m/f/x) Reference number W2708, salary in accordance with the German TV-L salary scale1, pay grade: E13 TV- L, duration of employment: 3 years, volume
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results in materials with diverse microstructures and mechanical properties Perform experimental characterizations of additive-manufactured and heat-treated steels, using state-of-the-art methods, such as
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participate in the courses, for example by holding lectures during seminars or participating in doctoral study groups. Students' performance in the courses will be evaluated and documented during the programme
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. by giving lectures during seminars or by participating in doctoral colloquia. A student's performance in the required courses of the PhD programme will be evaluated by regular testing and confirmed by
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welcomes applications from individuals with a master’s degree in the following fields: Computer Science Mathematics Natural or engineering sciences or an equivalent degree, interested in High-Performance
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-performance computing and imaging facilities. a collegial, international atmosphere and flexible, family-friendly working hours a structured PhD programme with extensive training and career-development
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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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Max Planck Institute for Biology of Ageing, Köln | Koln, Nordrhein Westfalen | Germany | 12 days ago
talented researchers. The structured PhD training programme within a cutting-edge research environment will start on an individual basis between July 1 and October 1, 2026. We offer An outstanding
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
degree of independence and commitment Experience with machine learning and high-performance computing is advantageous, but not necessary Our Offer: We work on the very latest issues that impact our society
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design are often too slow, costly, and inefficient to cope with the increasing complexity of performance and resource-efficiency requirements. This collaborative doctoral project brings together