61 embedded-system "https:" "https:" "https:" "https:" "Kiel University" Postdoctoral positions at Aarhus University
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with a strong research profile within Sensory & Consumer science who would like to work with highly engaged and motivated staff in a dynamic working environment. The position is available per 1st April
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employment The position is initially for 3 years with the possibility of extension. The earliest starting date is 1 June 2026. Job description The Plant-PATH Center of Excellence seeks to understand
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the center here: https://bio.au.dk/forskning/forskningscentre/cifar The place of employment is Aarhus University, and the place of work is Department of Biology, Ny Munkegade 114-116, 8000 Aarhus C
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development for postdocs at AU. You can read more about it here: https://talent.au.dk/junior-researcher-development-programme/ If nothing else is noted, applications must be submitted in English. The
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: http://international.au.dk/research/ The Danish School of Education The Danish School of Education at Aarhus University is Denmark’s largest centre for research and teaching in the fields of education
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an international team across Greenland, Canada, and Alaska. Expected start date and duration of employment This is a 2–year, full time position starting on 1 April 2026 or as soon possible thereafter. Job
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recommendation by CNN (https://edition.cnn.com/travel/article/aarhus-denmark-things-to-do/index.html ). Aarhus is easily reached via local international airports in Jutland within 1 hour of Aarhus, or via
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imaging of breast cancer as per 1st of May 2026 or as soon as possible thereafter. The position is a fixed-term full-time position for 1 year. As a Postdoctoral researcher at the Department of Clinical
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fishing activities, major shipping routes, and offshore development locations. The EU Oceans Pact highlight the need to assess and manage dumped munitions. Two EU-funded projects, MUNI-RISK ( https://muni
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater