72 computational-physics "https:" "https:" "https:" "https:" "Caltech" uni jobs at Technical University of Munich
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-cell communication, and cellular plasticity—all without destroying the sample. (https://www.cell.com/cell/fulltext/S0092-8674(25)00288-0 , https://www.biorxiv.org/content/10.1101/2024.11.11.622832v1
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Europe • Membership in the International Graduate School of Science and Engineering (IGSSE) and participation in the course program (https://www.igsse.gs.tum.de/en/igsse/about/) • IGSSE-funded doctoral
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plasma physics (XGC, IPPL). Expected qualifications: A Master's degree in Computer Science or Applied Mathematics. Necessary knowledge: Modern C++, GPU computing with CUDA/SYCL, MPI, Krylov solvers
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in Toulouse, led by Professor Mar Perez-Sanagustin. Your Profile • Completed Master’s degree (or equivalent) in a STEM discipline (e.g., mathematics, physics, biology, computer science), data
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9 Feb 2026 Job Information Organisation/Company Technical University of Munich Department Computer Engineering Research Field Technology » Communication technology Researcher Profile First Stage
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18.03.2026, Academic staff Location: Marsstraße 20-22, 80335 München Start date: As soon as possible Working hours: 8h/week Website: https://www.edu.sot.tum.de/en/lsdesign/welcome/ About Us The
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administration, industrial engineering, business informatics, or economics), informatics, or natural sciences/engineering with an outstanding degree (resp. graduation shortly) Internships or other professional
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of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting your
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. Your qualifications: Master’s degree in Aerospace Engineering, Mechanical Engineering, Computer Science, Electrical Engineering, or a related field. Strong interest and commitment to pursuing a Ph.D
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they interact and connect with each other. The doctoral researcher will develop computational indicators that capture these patterns from digital communication data, model how learning relationships form and