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, Computer Science, Data Science, Engineering Management, or Mechanical Engineering specializing in one of the subjects mentioned above. In addition, you have Python programming skills and perhaps also some experience
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any of these areas as well as an interest in combinatorial and computational methods is welcome, but not required. What we offer - Close and supportive supervision in a small Junior Research Group
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work at international conferences, and publish in leading journals. Through its Graduate Centre and Talent Factory, TUM supports PhD students and Postdocs by providing a dedicated qualification program
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simulations Enhanced sampling Molecular Dynamics simulations Your Profile The ideal applicant has a strong background in bioinformatics or computational chemistry, as well as data analysis and solid
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activities. ________________________________________ Candidate Requirements ✅ PhD degree in Engineering, Computer Science, Systems & Control, Statistics, Computational Physics, Computational Chemistry
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. • Computational efficiency: Designing adaptive and physics-aware strategies (e.g., optimized residual selection, physics-based zooming) for real-time inference. • Practical usability: Developing robust, user
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, dynamics, and interactions in complex environments and live mammalian cells. By combining ultra-high-field NMR with complementary biochemical, computational, and cellular approaches, the project will
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Systems Control Theory Formal Methods Reachability Analysis Computational Geometry Context The applicant will be directly advised by Prof. Matthias Althoff (https://www.ce.cit.tum.de/cps/members/prof-dr-ing
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University Jena: https://www.uni-jena.de/en/phd_financing . Academic admission requirements The programme is open to students who hold an excellent Master's degree (or equivalent) in physics or a closely
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conducted in German. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Application deadline 31 January for the following winter semester Tuition fees per semester in EUR