139 high-performance-computing positions at Technical University of Munich in Germany
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
coordinate national and international in-situ analytical campaigns, performing on-site documentation and analysis in collaboration with partner institutions. • Support students supervision (Bachelor’s
-
academic performance. Experience with stochastic methods, risk and reliability analysis, and data analysis. Programming experience in Python, MATLAB, C/C++, or a similar language. Strong analytical
-
the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
-
team. You will be enrolled in the TUM Graduate School with its structured doctoral program and professional-skills courses. You will contribute to an French-German collaboration on next-generation
-
“Commended Paper Award” of the IFAC MIM conference. Prof. Otto actively engages in academic governance, serving as an editorial board member of leading scientific journals as well as a program committee member
-
-performance computing. The working language is English; no German is required. Position & benefits This is a full-time PhD position with a competitive salary according to the German TV-L E13 scale (approx
-
23.10.2025, Wissenschaftliches Personal Automated cell culture systems are transforming the way we study complex biological processes. By enabling reproducible, standardized, and high-throughput
-
08.10.2025, Wissenschaftliches Personal The University Hospital rechts der Isar (TUM) is seeking a Data Analyst / Data Scientist (m/f/d) in the field of Medical Informatics. The role involves
-
emerging technologies (AR, VR, AI) shape decision-making. YOUR PROFILE - Excellent Master’s degree in business, psychology, or computer science - Strong interest in marketing, psychology, new technologies
-
benefits are in accordance with the German public sector scale, TV-L E13. Your Qualification: Strong mathematical background (e.g., linear algebra, optimization, formal methods, convex geometry). Master's