66 Computer-Science "https:" "https:" "https:" "https:" "https:" positions at Technical University of Munich in Germany
Sort by
Refine Your Search
-
at international conferences Your profile Completed Master's degree (or equivalent) in Computer Science, Data Science, Computational Linguistics, Mathematics, or a related field Strong programming skills in Python
-
-processing. A background in physics or engineering, ideally with some experience in laser optics, digital signal processing, and electronics, is an advantage. More about the Ring project can be found
-
of Numerical Mathematics at the TUM School of Computation, Information and Technology. We strongly encourage applications from women and individuals currently underrepresented in mathematics and computational
-
, especially with regard to future threats due to quantum computers. Information theory provides a promising approach to these challenges as it enables security which is independent of the adversary’s computing
-
characterization and engineering of bio–nano interfaces • Participation in a highly interdisciplinary and internationally visible research programme combining colloid science, molecular self-assembly, biointerfaces
-
problem. Do a theoretical analysis of the assigned problem using tools from information theory and related fields. Design a solution which is implementable on a computer and in hardware. Collaborate with
-
08.06.2026, Academic staff The Chair of Process Systems Engineering at the Technical University of Munich (Freising campus, School of Life Sciences) is seeking a research associate / doctoral
-
, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim to support computational thinking and computational problem-solving in the Earth sciences at large
-
a doctorate in artificial intelligence, medical informatics, and precision oncology? Then join the xMDT-HPB project at the Institute for AI and Informatics in Medicine (AIIM), a pioneering research
-
to pioneering digital fabrication techniques in architecture. We explore how novel computational and robotic methods can expand design capabilities and contribute to resource-efficient construction. We