64 web-programmer-developer-"LIST" PhD positions at Technical University of Munich in Germany
Sort by
Refine Your Search
-
14.08.2025, Wissenschaftliches Personal PhD (f/m/d) in Polymer Physics/Material Science funded by ERC StG with excellent opportunities for both research and career development. The Technical
-
10.03.2023, Wissenschaftliches Personal We are looking for a motivated Ph.D. student or post-doc interested in developing novel processes that boost the production of bio-based liquid fuels and
-
qualification program for PhD students containing excellent multidisciplinary training with tailor-made subject-based and soft skills courses, annual retreats, summer school, and a supervision concept. More
-
training in oceanography, climate science, Earth Observation, and data science within a highly international research team. The Chair of Data Science in Earth Observation develops innovative signal
-
of extension (TV-L E13 75%) in a highly motivated team combing on equal footing experimental and theoretical research. Professional career development complementing your scientific research is offered via TUM
-
The main task is the further development of methods for the non-destructive investigation of the pyramids of Giza in Egypt (World Cultural Heritage) in cooperation with our partners by using acoustic imaging
-
03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
-
fuel cells or electrolyzers, H2O2 production, or electrochemical CO2 reduction. To do so, the stability of newly developed catalysts is of pressing concern. You will continue our research line around
-
. Dr. Christina Zielinski | +49 3641 532 1251 | career@leibniz-hki.de | www.zielinskilab.com Applications: Complete applications in English should include a cover letter, a CV containing a complete list
-
03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and