16 programming-"the"-"DAAD"-"U"-"Prof"-"IMPRS-ML"-"O.P" "University of Copenhagen" Postdoctoral positions in Denmark
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Postdoctoral Researcher at Niels Bohr Institute, NQCP The Novo Nordisk Foundation Quantum Computing Programme (NQCP) at the Niels Bohr Institute at Faculty of Science, the University of Copenhagen
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Management, University of Copenhagen. The candidate is expected to frequently visit the semi-field facility at the AU Foulum campus where the SkyLine2D system is installed and do field work. Interested
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12 Sep 2025 Job Information Organisation/Company University of Copenhagen Department Department of Veterinary and Animal Sciences Research Field Medical sciences » Veterinary medicine Researcher
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University of Copenhagen, Dept of Mathematical Sciences Position ID: 821-PD2025 [#26843] Position Title: Position Type: Postdoctoral Position Location: Copenhagen, Copenhagen 2100, Denmark [map
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environment at the University of Copenhagen. MERCURY is anchored in and benefits from a strong research environment at the Faculty of Law and across UCPH, as well as with other researchers nationally and
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Danish University, the Alexandra Institute, and the University of Copenhagen. The candidate will be co-supervised from both the Centre for Language Technology and the Department of Computer Science and
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Sustainability in association with Professor Christina Lioma and her Machine Learning research team in the Department of Computer Science at the University of Copenhagen. The sub-package focuses
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are part of a sub-project on Algorithmic Sustainability in association with Professor Christina Lioma and her Machine Learning research team in the Department of Computer Science at the University
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
mission enabler programme under CORC, where other modelling activities will run in parallel to support and be supported by the findings of the digital twin solution. This innovative ambition is shared with
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mission enabler programme under CORC, where other modelling activities will run in parallel to support and be supported by the findings of the digital twin solution. This innovative ambition is shared with