36 phd-position-computer-science-"IMPRS-ML"-"IMPRS-ML" positions at University of Copenhagen
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of Chemistry, kjj@chem.ku.dk, Direct Phone: +45 21516721. Notice: In the following description of the PhD programmes, some references are made to SCIENCE websites The PhD programme Depending of your level of
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PhD fellowship in Computer Supported Cooperative Work (CSCW) PhD Project in Novel Computer Science Teaching Methods considering Neurodiversity, Physical Computing, and Universal design in teaching
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page). 2. CV incl. education, work/research experience, language skills and other skills relevant for the position. 3. A certified/signed copy of Master of Science certificate, and PhD certificate
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The Niels Bohr Institute, Section for Biocomplexity and Biophysics, invites applicants for a two-year Postdoctoral position which is part of a research grant financed by the Novo-Nordisk Foundation
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PhD Project in Theoretical High Energy/Mathematical Physics Niels Bohr Institute Faculty of Science University of Copenhagen The Niels Bohr Institute invites applicants for a PhD fellowship in
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Rossmeisl, Department of Chemistry, Jan.Rossmeisl@chem.ku.dk , Direct Phone: +45 5071 9584 The PhD programme Qualifications needed for the regular programme (5+3) To be eligible for the regular PhD programme
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articles based on the survey findings for submission to top sociology/political science journals. Presenting research findings at international conferences (e.g., APSA, EPSA, SASE, CES). This position is
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Christian Lyhne Ibsen (cli@faos.dk ). Qualifications We seek candidates with the following qualifications: A PhD in Political Science, Sociology, Political History, or a related field (completed or near
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The Department of Plant and Environmental Sciences invites applicants for a 3 year postdoctoral position focused on mechanistic modelling of faba bean cropping systems. The position is a part of the
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The Department of Plant and Environmental Sciences, University of Copenhagen (UCPH), invites applications for a postdoctoral position in microbial bioinformatics and machine learning for protein