31 high-performance-computing-postdoc positions at University of Copenhagen in Denmark
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period of employment as an assistant professor/postdoc but may also be obtained in other ways (please see link above) An extensive track record of high-quality research, including publications and academic
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Niels Bohr Institute Faculty of SCIENCE University of Copenhagen The Novo Nordisk Foundation Quantum Computing Programme (NQCP) is establishing a talented and diverse international team to create a
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structural transformations in the 21st century – the rising inequality and climate change. It poses the following research question: Under what conditions can business be powerful in the high-salience politics
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required; proficiency in Danish or German is an advantage. Work Environment & Research Team The postdoctoral researcher will work closely with Associate Professor Christian Lyhne Ibsen, another postdoc and
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meetings, fieldwork, working with project partners, participating in international conferences, and publishing in high-impact peer-reviewed journals, as well as participating more broadly in the research
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Offer Starting Date 1 Apr 2026 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 Research Infrastructure? No Offer
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Senior Analytical Chemist/Platform Manager in mass spectroscopy and chromatography – LC-MS and GC-MS
at all levels (PhD students, postdocs, and professors at all levels). In addition, the Platform Manager is expected to interact with other related analytical platforms at the department and across
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Sciences, e-mail: ncf@plen.ku.dk ; Telephone: +45 29611743 or +45 35333397 Co-supervisor is Professor Jeppe Lund Nielsen, Aalborg University, e-mail: jln@bio.aau.dk The PhD programme A three year full-time
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to document a high level of original scientific work at an international level within the area of Neurology. The professor’s responsibilities will primarily consist of: Research, including publication/academic
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the application and integration of data, code, and computational tools in the research at the departments. Assisting with practical tasks including access to high-performance facilities, server/data management, and