299 data "https:" "https:" "https:" "https:" "Dr" "L2CM" "L2CM" Postdoctoral positions in Denmark
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information Further information may be obtained from Professor Tomislav Dragicevic (tomdr@dtu.dk ). You can read more about DTU Wind and Energy Systems at https://wind.dtu.dk/ If you are applying from abroad
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at universities (only in Danish). Where to apply Website https://aau.varbi.com/en/what:job/jobID:900342/type:job/where:39/apply:1 Requirements Additional Information Work Location(s) Number of offers
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BCE, drawing on synthesis of available paleoclimate proxy data for temperature and precipitation in the region. Because the climate reconstruction is based on proxy records of varying temporal and
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section,which focuses on designing, developing, and applying interactive computing technologies. More information can be found on our website: https://www.cs.aau.dk/research/hcc-human-centered-computing
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information here: https://internationalstaff.au.dk/relocationservice/ Please find more information about research opportunities at Aarhus University here: http://international.au.dk/research/ Aarhus University
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1 Mar 2026 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Engineering and Science, Department of Energy, Electric Power Systems and Microgrids Research Field
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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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families, including relocation service and career counselling to expat partners. Please find more information here: https://internationalstaff.au.dk/relocationservice/ Please find more information about
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central experimental role in the project and work closely with a dedicated postdoc supporting advanced computational analysis and interpretation of data. The position offers substantial scientific
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of multiple simulators and robotic systems. The modelling work demands the ability to analyse diverse types of biomedical data and to develop computational models that capture organ anatomy and behaviour