74 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at Technical University of Munich in Germany
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the Doctoral Program at TUM and must not already hold a doctoral degree. Academic background: Master of Science (MSc) in Industrial Engineering and Management, Robotics, Engineering, specializing in Systems
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)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: anja.boeckl@tum.de More Information https://www.arc.ed.tum.de/en/and
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dedicated qualification program, as well as interdisciplinary collaboration and networking opportunities. We look for • a team player with the ability to work independently with an excellent master's
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information of TUM. Kontakt: contmech@mw.tum.de More Information https://www.epc.ed.tum.de/ddmm/aktuelles/article/phd-position-in-collaboration-with-bmw-on-data-driven-modeling-of-structural-foams-for-high
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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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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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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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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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University of Munich is one of the largest production technology institutes in Germany. Main topics include production and logistics, machine tools, assembly technology and robotics, battery production
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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