43 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" uni jobs at Nature Careers in Denmark
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@sund.ku.dk. For information on the faculty, please visit www.sund.ku.dk. Foreign applicants may find this link useful: http://www.ism.ku.dk/ (International Staff Mobility). Application Please submit
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4-year Group Leader (Assistant Professor) Position in Colloidal Chemistry Related to new ESS Ligh...
advanced data analysis, simulations, and/or mathematical modeling. The work involves close interactions with other employees in CaIFF and the principal investigators to foster methodological innovation and
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information on the Department see: http://ecos.au.dk/en/ What we offer Excellent research infrastructure with access to state-of-the-art facilities, shared technical equipment, and strong technical support for
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organisations like educational institutions, municipalities, and companies. More information about the department can be found at https://imada.sdu.dk/ . Application deadline: 28 February at 23:59 hours local
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process here . You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Kim Dam-Johansen, Director of CoaST (kdj@kt.dtu.dk ) or Professor
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DIAS Assistant Professor in Cognitive psychology, Clinical psychology, or Health psychology ved I...
organized into three units across our two campuses, including 1) health and cognitive psychology, 2) clinical psychology, and 3) community psychology. For more information on the department units, research
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new collaborative effort between DTU, UCPH and SSI, funded by the Novo Nordisk Foundation we will be developing online bioinformatic tools for analysing and sharing pathogen genomic data. As part of
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Assistant Professor Positions in University Science Education Research: Learning Environments, Ex...
, including how to apply, on https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/da/sites/CX_1001/job/3593/?utm_medium=jobshare
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, integrative systems biology, and machine learning. Our research is focused on analyses of data generated within the biological, biomedical, biotechnological and life sciences areas. The section has extended
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physics, substantial experience with the operation of several kinds of detectors, and the analysis and interpretation of data and a strong publication record in experimental physics. The successful