21 Engineering-"https:"-"https:" Postdoctoral positions at Technical University of Munich
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functions of natural and engineered human cytokines, building on recent work from the lab (see e.g. Aschenbrenner et al., Biol Chem, 2024; Hildenbrand et al., Sci Adv, 2023; Liebl et al., Mol Immunol, 2023
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Scientific Personnel 02.03.2026, Academic staff To meet the advanced instrumentation needs of the BioSysteM cluster of excellence, BioSysteM is establishing a Technology Hub staffed with dedicated
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Accelerator within the Technology Hub. The position is temporary until 31.12.2032. To meet the advanced technology and instrumentation needs of the BioSysteM cluster of excellence, BioSysteM is establishing a
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conducted in close collaboration with Everllence (formally known as MAN Energy Solutions). The developed methods have to be tested in simulation and on real engines. Previous Work https://openreview.net/pdf
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invasive in blood biomarker detection. In collaboration with our partners at the Karlsruhe Institute of Technology (KIT), you will develop data analysis pipelines as well as signal processing and inference
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learning, medical image computing, biomedical engineering, medical physics, or related field Strong Python and PyTorch experience Solid publication record and ability to communicate research results
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of miniaturized imaging technologies. Your Profile: The successful applicant must have the following: • Ph.D. in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing
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-Tracking, and their responsible applications. Ideal candidates will have: An M.Sc. degree (or equivalent) in Computer Science, Game Engineering, Mathematics, Statistics, or related fields. Strong programming
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06.09.2021, Academic staff The Institute for Communications Engineering is currently offering seven positions for PhD or postdoctoral candidates for the project "6G-life" which is funded by
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quantitative verification interested in co-developing Automata Tutor - main developer of Automata Tutor Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky