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to appoint a Junior Group Leader to the Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW) to develop a cutting-edge research programme in translational stem cell medicine, commencing in 2026
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Dynamics group combines biochemistry, next-generation sequencing and computational analysis to understand how chromatin remodelling enzymes shape nucleosome positioning and genome regulation. We develop and
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in innate immunology. Candidates at the Assistant Professor level should have a substantial trajectory toward developing a rigorous, externally-funded research program. Candidates at the Professor and
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us as an independent Principal Investigator (PI). Areas of interest include but are not limited to Cancer Biology, Neurological Disorders, Infectious Diseases, Physiology, AI and Computational Biology
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
PhD candidate to develop and apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular
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Research Centre (CRC) 1450 “inSight – Multiscale imaging of organ-specific inflammation” (https://www.uni-muenster.de/CRC-inSight) The project is based in the research group of Prof. Dr. Kerstin Steinbrink
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-year contract starting September/October 2026 https://www.eu4greenfielddata.eu/ APPLICATIONS OPEN ON Juanary 5th 2026 Are you an aspiring researcher ready to drive the digital and green transition in
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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involving the analysis of omics or twin datasets. Essential qualifications include: A strong computational background, with experience in one or more programming languages (e.g. R, Python, Perl, or shell
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for a candidate with the potential to build a world-leading, independent research program in the field. You will be responsible for appropriately representing the field of machine learning in digital