67 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" uni jobs at Technical University of Munich in Germany
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Research in
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reproducible research practices. Your responsibilities Develop and implement computer vision and image processing algorithms for star tracking and satellite detec-tion using event cameras. Design and build a
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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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organoid technology. About the Project Our team (westmeyerlab.org ) at the Munich School of Bioengineering (TUM) and Helmholtz Munich develops novel synthetic biology tools for longitudinal cellular
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electrification strategy, the research aims to develop a multidisciplinary framework that combines microstructure modeling, machine learning, and probabilistic simulation to link manufacturing parameters, foam
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the focus on "Digital Twin development for industrial sucrose crystallization " Project Join an exciting research initiative at the forefront of Industry 4.0 and process systems engineering. The project
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application partner. The candidate will develop physical and chemical deoxygenation concepts for two given applications, measure and model physico-chemical properties, conceptually design, optimize, and test
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systems biology approach and with a focus on wood as substrate. The candidate will collaborate closely with CRC project partners across Germany to develop and apply multi-omics approaches and to investigate
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are ideal for researchers aiming to launch a successful academic career: • Positions are A13/E13 salary scale, with the possibility to prepare for habilitation. • Full technical support is available through
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dynamic team. As part of the newly funded ERC Synergy consortium EPIC, you will develop scalable and robust software to train and apply AI models for regulatory genomics. About us The Chair of Computational