73 computer-programmer-"https:"-"IDAEA-CSIC" "https:" "https:" "https:" "https:" "U.S" uni jobs at Technical University of Munich
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biomolecular structure, dynamics, and interactions in complex environments and live mammalian cells. By combining ultra-high-field NMR with complementary biochemical, computational, and cellular approaches
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26.09.2025, Wissenschaftliches Personal The Professorship of Geothermal Technologies (GTT) at Technical University of Munich (https://www.cee.ed.tum.de/gtt/) invites applications for a Research
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of distributed computing, machine learning, image and text analysis, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim to support computational thinking
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. Support: Access to TUM’s doctoral program and external opportunities for continuous quantitative training (e.g., GSERM, ICPRS Michigan) and research stays abroad - Environment: Work in interdisciplinary
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pollinators (https://cordis.europa.eu/project/id/101219108). About us: Our group at TUM’s Soil Biophysics and Environmental Systems Professorship embraces a holistic, interdisciplinary approach to soil research
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: Based on the Collective Agreement for the Civil Service of the Länder (TV-L E13, 75%) with appropriate qualifications - Ph.D. Support: Access to TUM’s doctoral program and external opportunities
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into real-world applications in Geriatronics. Your Profile PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, Mechatronics, or a closely related field. Proven experience in
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entrepreneurship education Data-driven optimization: Establish a systematic assessment and mapping of TUM's entrepreneurship education components to talent journeys Program development: Contribute to strategic
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representations. • Computational efficiency: Designing adaptive and physics-aware strategies (e.g., optimized residual selection, physics-based zooming) for real-time inference. • Practical usability: Developing
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representations. • Computational efficiency: Designing adaptive and physics-aware strategies (e.g., optimized residual selection, physics-based zooming) for real-time inference. • Practical usability: Developing