68 postdoctoral-fellowship-in-material-science PhD positions at Technical University of Munich in Germany
Sort by
Refine Your Search
-
20.07.2023, Wissenschaftliches Personal The Chair of Materials Engineering of Additive Manufacturing is looking for a full-time applicant as Wissenschaftliche/n Mitarbeiter/in (m/f/d) Founded in
-
11.01.2025, Wissenschaftliches Personal The Chair Group of Production and Resource Economics at the TUM School of Management and the TUM School of Life Sciences offers three positions as Ph.D
-
world. The workflow spans from analytical chemistry to material science and engineering. There is no need for previous knowledge in the described fields but a strong motivation to learn and push the boundaries of our
-
20.12.2024, Wissenschaftliches Personal The ERC project “RESIST” at the Professorship for Computational Plant Biology at the TUM School of Life Sciences is seeking a PhD candidate for an
-
protein engineering who also does not shy away from technical equipment Are you passionate about science? Full of ideas and innovative potential to drive change? Do you see yourself working in
-
28.11.2024, Wissenschaftliches Personal Three funded PhD student positions are available at the Chair of Plant Systems Biology at the School of Life Sciences of the Technische Universität München in
-
(MCQST) is inviting applications for a Ph.D. or postdoctoral position. In recent years, spin defects in diamonds have been shown to act as atomic-sized sensors for nanoscale- microscopic magnetic field
-
14.08.2023, Wissenschaftliches Personal The Chair Group of Production and Resource Economics at the TUM School of Life Sciences Weihenstephan and the TUM School of Management offers two positions as
-
its affiliation to the Technical University of Munich (TUM), deals with the multifaceted interactions between politics, society, business and technology in research, teaching and practice. It was
-
on Responsible Data Science. The PhD positions will be at the intersection of Data Science and Social Sciences and will focus on topics such as Explainable & Fair AI, AI Auditing, AI Alignment, and AI Safety in