1,571 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Keele University" positions at Nature Careers
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. Contact If you have any questions about working at NIhK, please contact Prof. Dr. Hauke Jöns (Scientific Director at NIhK) or, for questions about the professorship at ICBM, Prof. Dr. Oliver Wurl . Apply
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Center Information The successful candidates will join the research groups led by Dr. Yang Xie and Dr. Guanghua Xiao within the Quantitative Biomedical Research Center (QBRC). QBRC fosters a highly
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or a chronic condition, please contact us so we can make all necessary accommodation. Find out more about our DEI work here https://group.springernature.com/gp/group/taking-responsibility/diversity
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passionate about groundbreaking international research and academic excellence. Ready to be part of our team? Let’s shape the future together! About the team: The Computational Materials Physics group develops
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at Aarhus University, in close collaboration with the research group of Prof. Dr.-Ing. Selin Kara at Leibniz University Hannover, Germany. The key tasks of the postdoc in this position will be: Enzyme
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: https://ie.univie.ac.at/en/ Your academic profile: Doctoral degree/PhD Two years of international research experience during or after doctoral studies Outstanding research achievements, excellent
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Postdoctoral Fellow in innate immunity Employer: Mount Sinai School of Medicine Research lab: Teunissen lab Institute Biomedical Engineering and Imaging Institute PI: Dr. Abraham Teunissen Location
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, the Division of Signaling and Functional Genomics at the German Cancer Research Center is seeking as soon as possible a Postdoc – Bioinformatics / Computational Biology Reference number: 2026-0007 The Division
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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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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum