290 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" positions in Denmark
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positions within the Novo Nordisk Quantum Computing Programme (NQCP). The NQCP mission to develop fault tolerant quantum computing processors requires the interplay of several research teams. All NQCP
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their language skills. For further information about the guidelines for PhD studies at UCPH, please refer to: https://phd.ku.dk/english/ . For further information about the structure of the PhD programme, please
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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 Description Associate Professorof Quantum
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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 Description The Graduate School of Natural
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. Our group and research- and what do we offer? Our lab provides a collaborative environment with opportunities for both wet‑lab and computational training, and access to cutting‑edge genome engineering
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description EuroCC3 is the follow-up project of the EuroCC (European Competence Centre) and EuroCC2 on High-Performance Computing ( https://www.deic.dk/da/eurocc-denmark ). The national competence centres (NCCs
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qualifications emphasis will also be laid on previous publications (if any) and relevant work experience. The PhD programme A three year full-time study within the framework of the regular PhD programme (5+3
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the applicant. The PhD study must be completed in accordance with The Ministerial Order on the PhD program (2013) and the Faculty’s rules on achieving the degree. Salary, pension and terms of employment are in
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The Novo Nordisk Foundation Quantum Computing Programme (NQCP) at the Niels Bohr Institute, University of Copenhagen, is seeking a Quantum Systems Modeling & AI Engineer or Academic Research
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We are seeking to recruit a 2-year postdoctoral researcher within Human-Computer Interaction to work on the interdisciplinary project DARES: Data Quality for Responsible AI in Energy Systems funded