62 embedded-system "https:" "https:" "https:" "https:" "UCL" Postdoctoral positions at Technical University of Munich
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of History and Ethics in Medicine, we advance ethical practice and theory in medicine, biomedical technology, and public health, driven by the belief that embedding ethics is essential for shaping the future
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09.02.2026, Academic staff The Laboratory for Ethics of Artificial Intelligence and Neuroscience at the Technical University of Munich (TUM), headed by Prof. Dr. Marcello Ienca, is seeking
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Factory für Postdocs. This project is embedded in the DFG Priority Program Biodiversity Exploratories which offer a multitude of opportunities for collaboration, data sharing and networking. How to apply
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power systems in the CoSES lab at the Technical University of Munich. Previous Work https://mediatum.ub.tum.de/doc/1731060/g5zgxaj96lcyhh8gh6le1xbuu.Wetzlinger-2023-TAC.pdf https://mediatum.ub.tum.de/doc
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04.02.2026, Academic staff The successful candidates will be part of the Munich Climate Center and the Earth System Modelling group at TUM (https://www.asg.ed.tum.de/esm/home/) and will be closely
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your application. We value personality and passion as much as your CV. Submit your application: https://pandalabs.typeform.com/to/izMNqfQT | The form is also where you will upload your CV and the video
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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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-MS. (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). Ideally, the applicant takes over the co-supervision of selected PhD candidates. We are looking for an individual with a
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-organization. For more information go to: https://www.bauschlab.org Your Qualification: High motivation, curiosity, and commitment to scientific excellence Master's degree (for PhD) or PhD (for PostDoc) in stem
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23.10.2025, Academic staff Automated cell culture systems are transforming the way we study complex biological processes. By enabling reproducible, standardized, and high-throughput generation