214 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "ETH Zürich" Postdoctoral positions in Denmark
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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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://international.au.dk/research/ Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here: http://talent.au.dk/junior
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at http://employment.ku.dk/faculty/ Your application should include the following documents: Cover letter Curriculum vitae, incl. educational qualifications, experience, and a list of publications A scanned
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Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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through the EU Research Framework Programme? Horizon Europe (other) Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to work with biorefining
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. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab
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, etc. More information can be found at: https://inano.au.dk/about/research-centers-and-projects/nmr/ Aarhus University provides a strong international research and training environment with excellent
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Søren Hauberg
, http://hauberg.org . You can read more about DTU Compute at www.compute.dtu.dk . If you are applying from abroad, you may find useful information on working in Denmark and -
career paths at DTU here . Further information Further information may be obtained from Prof Vincenzo Esposito at DTU Energy, vies@dtu.dk - https://orbit.dtu.dk/en/persons/vincenzo-esposito/ You can read
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, handling, and synthesising big data geospatial data sets from various data sources. Cutting-edge expertise in advanced statistical analyses of large data sets and strong knowledge of programming languages