65 parallel-computing-numerical-methods-"Prof" uni jobs at Technical University of Munich
Sort by
Refine Your Search
-
of the structure, dynamics and kinetics of these systems, we mainly use scattering methods and do experiments at large facilities. Time-resolved scattering experiments at large-scale facilities allow us to
-
, ranging from life sciences to engineering. For more information, visit our webpage www.epc.ed.tum.de/en/mfm. Your profile - M.Sc. degree in informatics, physics, chemistry, or engineering (candidates who
-
for Psychology for Teaching and Learning (Prof. Doris Holzberger). The project is being conducted in collaboration with the Chair of Social Psychology at LMU and the Medical Edu-cation Center (MEC) at the TUM
-
) at the Global Center for Family Enterprise (Prof. Dr. Miriam Bird). Expected starting date is September 2025 or by mutual agreement. The research associate (doctoral student) is expected to work and conduct
-
will work on key research projects applying computer science methods within the context described above. The Professorship of Energy Management Technologies closely collaborates with other professorships
-
Spatial Development run by Prof. Dr. Lindsay Blair Howe and the newly established Centre for Urbanisation and Peripheralization (CUSP). About us and the position The Technical University of Munich (TUM) is
-
document by Email to esm-jobs.asg@ed.tum.de until June 30, 2025. The size of the file should not exceed 15 MB. For further information or to discuss the position please contact Prof. Dr. Niklas Boers
-
on the Part Scale. The project is jointly supervised by Prof. Dr. Ralf Jänicke (Institute of Applied Mechanics, Technische Universität Braunschweig) and PD Dr. Stefan Kollmannsberger (Chair of Computational
-
Computer Science or related fields • Strong background in machine learning • Strong programming skills in Python and experience with deep learning frameworks (PyTorch or similar) • Proficient in spoken and written
-
will work on key research projects applying computer science methods within the context described above. The Professorship of Energy Management Technologies closely collaborates with other professorships