25 evolution-"https:"-"https:"-"https:"-"https:"-"UCL" uni jobs at Technical University of Munich
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Scientist/Steward or Software Developer (f/m/d) to facilitate the development of ProteomicsDB with a good background in bioinformatics, data visualization, big data analytics at best in the context of mass
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Chair of Biological Imaging 27.02.2026, Academic staff We are now seeking a highly qualified and motivated Ph.D. student (f/m/x) to drive the development of novel optical technologies addressing
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actively participate in the maintenance and further development of ProteomicsDB particularly in relation to all data acquired in the context of the graduate college “The Proteome that Feed the World
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will take the lead building our laboratory for intelligent energy management systems. The laboratory's purpose is to provide versatile test facilities for the development and validation of data-driven
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initiative. The BMFTR Junior Research Group CO2 UPLED within the SINATRA research initiative is actively seeking a highly motivated PhD researcher to work on the development and interface engineering of
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. The successful candidate will contribute to the development and evaluation of an innovative RNA-editing strategy with potential translational relevance for rare neurodegenerative disorders. The position is based
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development of spacecraft test facilities for the experimental validation of rein-forcement learning approaches (requires basic knowledge about hardware, sensors, actuators, etc.) Design and execute
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pathways. This project investigates how the intrinsic chemical reactivity of PM2.5 relates to pro-inflammatory lung responses and chronic disease development. Your mission • Developing relevant air-liquid
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data professionals across three universities Professional Development: Opportunities to further develop expertise in FAIR data, life-science data stewardship, and inter-institutional research
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Analysis of Electronic Structure Methods for Molecules and Materials. About the PhD Project: The goal of the project is the development of a posteriori error estimates for state-of-the-art numerical methods