447 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions in Denmark
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, data management and analyses in an interdisciplinary research environment on Danish and international projects? You might then be the perfect candidate for one of our current vacancies. The Climate and
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on “ Integrating AI into Aquatic Ecosystem Models to Decode Ecological Complexity ” funded by Villum Fonden. Within that project, the focus is on exploring novel ways to infer information from environmental data
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. Key responsibilities • Plan and execute daily mission operations • Operate and develop the ground segment • Coordinate calibration/validation activities and assure data quality • Manage
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) outlining a research project addressing the history of Danish botany and the Flora Danica volumes in the period 1840–1900 within the statement of future research plans and information about research
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of upstream and downstream processes. Integrate techno-economic and resource efficiency data into environmental modelling Analyse sustainability trade-offs, circularity potentials, and scenario-based system
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Job Description We are looking for a skilled and experienced Full tack Developer with interest in designing and building tools to work with dietary and nutrient data. The Research Group
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
on “Integrating AI into Aquatic Ecosystem Models to Decode Ecological Complexity” funded by Villum Fonden. Within that project, the focus is on exploring novel ways to infer information from environmental data
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graduate and PhD students pursuing their Master’s degree or PhD. Further information and contact For further information please contact professor Henrik Ditzel Application deadline February 8, 2026, at 2359
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grant from the European Research Council. The primary challenge in powering AI chips and future data center systems is enhancing the efficiency of voltage regulator modules (VRMs) to meet their
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tasks include planning, conducting, and publishing epidemiological studies using large-scale observational data, primarily register-based, focusing on women’s short- and long-term health outcomes within