41 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"IMPRS-ML"-"O.P" "University of Copenhagen" positions in Denmark
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University of Copenhagen, Niels Bohr Institute Position ID: UCPH -NBI -LHPROF2025 [#29602] Position Title: Position Type: Non tenure-track faculty Position Location: Copenhagen, Copenhagen 2100
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Teaching experience/teaching portfolio, including documentation of any formal qualifications and teaching experience Practical information The University of Southern Denmark and the University of Copenhagen
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Tenure Track Assistant Professor and Curator in Mineralogy Natural History Museum Denmark Faculty of Science University of Copenhagen The Natural History Museum Denmark wishes to appoint a Tenure
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conducted in cooperation with colleges from the University of Copenhagen and Monash University in Melbourne . Starting date: 1 September 2025, or as soon as possible thereafter. Project background
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. SMARTbiomed is an international collaboration between Aarhus University, University of Oxford, and University of Copenhagen that aims to advance the development of methods and software for analysis 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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Faculty of Health and Medical Sciences University of Copenhagen The Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen seeks to appoint a tenure
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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