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Max Planck Institute for Biology of Ageing, Köln | Koln, Nordrhein Westfalen | Germany | about 3 hours 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
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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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students on the campus, offering the chance to engage and connect - our PhD Representatives offer information and advice when needed access to high-performance computing a chance to contribute meaningfully
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of the best universities in Europe. Top performance in research and teaching, interdisciplinarity and talent promotion are its hallmarks. In addition, it has strong alliances with companies and scientific
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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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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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interdisciplinary research team. We study tumor evolution and immune microenvironment adaptation by combining functional genomics, experimental model systems, patient samples, and computational biology (Brägelmann et