21 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"U" "University of Copenhagen" Postdoctoral positions
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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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hub sites, Aarhus University (AU), University of Copenhagen (UC) and University of Oxford (UO). A key output from SMARTbiomed research is software for use by the research community. The appointee will
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Centre for SMARTbiomed was established in June 2024 (see https://www.smartbiomed.dk/ ). This virtual centre has 3 hub sites, Aarhus University (AU), University of Copenhagen (UC) and University of Oxford
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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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(MRC CMM) seeks an experienced research associate to join a recently funded 5-year programme of antifungal drug discovery at the MRC Centre for Medical Mycology. This exciting new programme connects MRC
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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