45 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Dip" positions at University of Copenhagen in Denmark
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are a systems neuroscience laboratory focusing on understanding the mechanisms by which neural circuits and behaviors are affected by early life stress and thermic stress (https://in.ku.dk/research/kermen
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, pharmacologists and structural biologists. Profile We are looking for a database developer with a computer science or similar background. Essential experience and skills: A MSc related to bioinformatics
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) centre (https://barc.ku.dk/), joint with the IT University of Copenhagen, and have extensive collaborations with the Technical University of Denmark (DTU) and with Lund University on the Swedish side
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: https://renew.ku.dk/about/stem_cell_medicine/ The University of Copenhagen and other local support structures provide a rich innovation-driven environment for researchers to advance their discoveries
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of Health and Medical Sciences. The successful candidate is expected to start on the 1st March, 2026 (or as soon as possible thereafter). Information on the department can be found at: https
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the Protocol on Job Structure. Responsibilities and tasks in the PhD programme: Carry through an independent research project under supervision Complete PhD courses corresponding to approx. 30 ECTS / ½ FTE
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on the Section can be found at: https://publichealth.ku.dk/about-the-department/section-epidemiology/ Terms of employment The Postdoc position is a full-time (37 working hours weekly) and fixed-term position for 2
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of the hospitals. The advertisements for the consultancies are available at: Copenhagen University Hospital – Bispebjerg and Frederiksberg: https://www.sundhedsjobs.dk Copenhagen University Hospital – Herlev and
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candidate will be anchored in the Belowground Crop Ecology group in the Crop Sciences section within the Department of Plant and Environmental Sciences, Faculty of SCIENCE, University of Copenhagen (https
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data extraction, or by structuring existing digitized data, b) cleaning, merging, and visualizing these data, and c) analyzing these data using econometric techniques, Natural Language Processing, and/or