72 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " uni jobs at Technical University of Munich
Sort by
Refine Your Search
-
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
-
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
-
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
-
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
-
)). 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
-
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
-
, 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
-
15.09.2025, Wissenschaftliches Personal The Chair of Systems Process Engineering at the Technical University of Munich (Weihenstephan site, Freising) is looking for a research assistant (m/f/d) with
-
. • 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
-
dynamic team. As part of the newly funded ERC Synergy consortium EPIC, you will develop scalable and robust software to train and apply AI models for regulatory genomics. About us The Chair of Computational