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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 6 days ago
challenges through an interdisciplinary and intersectoral research and training programme, including international secondments and network-wide training events. SwitchFloc will focus on species
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 10 days ago
Status Part-time Hours Per Week 26 Offer Starting Date 17 Sep 2025 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
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of the Microverse” (https://www.microverse-cluster.de/en/# ), the CRC/Transregio 124 “Pathogenic Fungi and Their Human Host: Networks of Interaction” (https://www.funginet.de/willkommen.html# ) funded by the Deutsche
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IT colleagues and scientists at COS Heidelberg and the University Computing Center Management and migration of large amounts of data Metadata management and archiving Planning, implementation
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an extensive scientific program in the field of cancer research. Since 2020, the DKFZ together with other academic institutions across Germany has been operating the German Human Genome-Phenome Archive (GHGA
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computational approaches Beyond technical training, you will join a dynamic, collaborative and international team and receive structured support through our PhD training program. Your Profile: Master’s degree
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of the scientific themes of the RTG Collaborating with other project partners of the RTG Active participation in the structured training program of the RTG including ring lectures, research and PhD seminars
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is intended to strengthen research on human pathogenic fungi in Jena. The post holder is expected to carry out an ambitious research program to elucidate the pathogenesis of severe fungal infections
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Your future with us We are one of the leading university hospitals in Germany and network research, teaching and health care at the highest level. That's why many things are a lot bigger for us: the
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computing to develop a continuous and local alternative to existing gradient-based learning rules, bridging theories of predictive coding with event-based control/ Simulate models of the learning algorithm