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21 Sep 2026 Job Information Organisation/Company Technische Hochschule Brandenburg Department HR Research Field Physics » Other Engineering » Aerospace engineering Information science » Other
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8 Jul 2026 Job Information Organisation/Company Saarland University Department Data Driven Simulation and Analysis in Material Science Research Field Computer science Researcher Profile Established
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Deadline 29 Sep 2027 - 22:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 16 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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8 Jul 2026 Job Information Organisation/Company Saarland University Department Data Driven Simulation and Analysis in Material Science Research Field Computer science Researcher Profile First Stage
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3 Aug 2026 Job Information Organisation/Company Heidelberg University Department Institute for Theoretical Physics Research Field Physics » Computational physics Chemistry » Computational chemistry
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to work on Higgs data analysis within our ATLAS Muon Group. Our long-standing analysis program focuses on exploring the properties of the Higgs boson and searching for physics phenomena beyond the Standard
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Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101312169 Is the Job related to staff position within a Research Infrastructure
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Max Planck Institute for the Study of Crime, Security and Law, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 6 days ago
. Your research interest or specific research project (description limited to three pages) aligns with the research program of our department (https://csl.mpg.de/en/public-law/research-program ). The
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos.Become a part of our team and join us on our journey of research and innovation! Be
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numerical simulations and machine learning in order to better understand and characterize active matter systems. A possible direction is to use physics-informed machine learning techniques to connect