271 evolution "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" "St" uni jobs in Denmark
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for Genomic Epidemiology but substantially contribute to the work at the Section of Epidemiology. The Research Group for Genomic Epidemiology at DTU National Food Institute conducts research within evolution
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these links useful www.ism.ku.dk (International Staff Mobility) and https://www.workindenmark.dk/ . Application The application must be submitted in English and must include the following documents
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for the DigiWind project: https://digiwind.org/ , with a primary focus on DTU Wind’s DigiWind course portfolio: https://www.dtu-digiwind.org/ . The profile we are looking for have strategic communicator- and
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, participating in leading research efforts in the development of quantum technologies. The role focuses on 1) developing components and methods for high-fidelity control of spin-photon systems in quantum emitters
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research CV including employment history, list of publications (applicants applying for the position as associate professor should indicate scientific highlights), H-index and ORCID (see http://orcid.org
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role will be vital to the success of the newly established DTU Arena for Life Science Automation (DALSA; https://dalsa.dtu.dk/ ). Together with a multidisciplinary team, you will implement DALSA’s
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-free clean-laboratory, two ICP-MS, and TCN dating facilities. https://geo.au.dk/en/research/faciliteter/laboratories/facilities . We also have the largest pool of hydrogeophysical electromagnetic
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Bioinformatics Staff Scientist at the Center for Adipocyte Signaling (ADIPOSIGN) (Academic Employee)
changes in these signaling states during development of obesity contribute to the pathophysiological consequences of obesity. Job Description and Role in Research Center As a computational staff scientist
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information on the Department see: http://ecos.au.dk/en/ What we offer Excellent research infrastructure with access to state-of-the-art facilities, shared technical equipment, and strong technical support for
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development of deep learning tools applied to different types of genomic data, proteomics, expression data, immune profiling, metabolomics data, or general health data. You will have a proven track record of