61 programming-"https:"-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" positions at Technical University of Munich in Germany
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
12.08.2026, Academic staff The newly established Fundamentals of Programming Group at the Technical University of Munich (TUM) invites applications for - PhD students - Postdoctoral researchers Our
-
training and qualification programs Benefit from continuous academic and professional development opportunities Your research may focus on topics such as: The impact of artificial intelligence on corporate
-
that generate new biological understanding and clinically relevant information. This position is embedded within major research and innovation programs funded by the European Union and the German government and
-
major research and innovation programs funded by the European Union and the German government and offers exceptional opportunities for scientific visibility, professional growth, and future leadership
-
for clinical optoacoustic imaging. Contribute to internationally visible research programs funded by the European Union and the German Government. Collaborate closely with clinical partners and an innovative
-
. This position investigates how modernization can instead be made spec-driven, traceable, and verifiable, combining deterministic program analysis with agentic AI components. The work is grounded in real legacy
-
working with empirical data; experience with statistical modelling, computational methods, machine learning, or causal inference is particularly welcome Programming skills (e.g., Python, R) - Experience in
-
electric propulsion • Highly motivated to carry out a research project and to advance a new space technology • Strong interest in economically sustainable space mobility • Engineering tools like CAD-programs
-
), with the autonomy to shape a high-visibility research program. HOW TO APPLY Please submit a single PDF containing: a cover letter stating your motivation, research vision, and prior experience in VR
-
interest in fundamental research tackling questions on the perception of time and space in virtual immersive environments. • Solid quantitative skills (R, Python, or Stata). • Programming ability relevant