51 data "https:" "https:" "https:" "https:" research jobs at Nature Careers in Denmark
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also conducts research-based advice of the Danish Government in the areas of plant production and food quality. Please refer to http://food.au.dk/ for further information about The Department of Food
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The Centre for Machine Learning within the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark invites
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Europe funded by the Lundbeck Foundation. DANDRITE: https://dandrite.au.dk/ Lab website: https://www.synaptic-logistics-lab.com/ What we offer The department/centre offers: a well-developed research
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paths at DTU here . Further information Further information may be obtained from Prof. Kresten Yvind, kryv@dtu.dk and Senior Researcher Minhao Pu, mipu@dtu.dk . You can read more about DTU Electro
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Montesi (fmontesi@imada.sdu.dk ) for more information. Hosting environment FORM is embedded in the Section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP) , an elite cluster
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national and international collaborations and access to world-class infrastructure. Lab website: https://www.sahu-lab.com/index.html Department of Molecular Medicine (IMM) The Department of Molecular
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engaged scientific environment at the Section for Arctic Ecosystem Ecology (for more information see: https://ecos.au.dk/en/researchconsultancy/research-areas/arctic-ecosystem-ecology ). The department is
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information about working in Denmark can be found at Work in Denmark . Application deadline: 12 November 2025 at 23:59 hours local Danish time Please see the full call, including how to apply, on https://fa
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DTU Tenure Track Researcher in Low-Noise Supercontinuum Lasers and Supercontinuum Laser based Opt...
, mobile: +45 2721 3805 or telephone: +45 4525 6373. You can read more about DTU Electro at https://electro.dtu.dk/ . If you are applying from abroad, you may find useful information on working in Denmark
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institutions. Access to state-of-the art equipment, advanced workflows, and robust infrastructure. Key Responsibilities: Planning, executing, and managing wet-lab experiments and data analyses, including