157 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "UNIV" "UNIV" research jobs in Denmark
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of Copenhagen. The University of Copenhagen was founded in 1479 and is the largest in Denmark. Read more about the museum at http://www.snm.ku.dk/english/ . The position is open from 1 July 2026, or as soon as
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positions available in the areas listed here: https://math.au.dk/en/about/vacancies/postdoc/ When applying, you will be asked to indicate, which of the areas listed on the page above are of interest to you
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Aarhus University (http://bio.au.dk/en) and work in the Archaea Group (https://bio.au.dk/en/research/research-areas/microbial-processes-and-diversity/archaea-group), Section for Microbiology
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Aarhus University (http://bio.au.dk/en) and work in the Archaea Group (https://bio.au.dk/en/research/research-areas/microbial-processes-and-diversity/archaea-group), Section for Microbiology
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months for the position. Where to apply Website https://aau.varbi.com/en/what:job/jobID:921455/type:job/where:39/apply:1 Requirements Additional Information Work Location(s) Number of offers
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pension fund. Questions For further information please contact Laboratory Coordinator Ulf Tiemann by email: ulf.tiemann@bric.ku.dk https://www.bric.ku.dk/research-groups/Research/cvejic-group/ Application
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available1Company/InstituteGEUSCountryDenmarkGeofield Contact City Copenhagen Website http://www.geus.dk/ Street Øster Voldgade 10 Postal Code 1350 E-Mail ismao@geus.dk STATUS: EXPIRED X (formerly Twitter) Facebook
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Code2000StreetSolbjerg Plads 3 Contact City Copenhagen Website https://www.cbs.dk/en/research/departments/department-marketing Street Solbjerg Plads 3 Postal Code 2000 STATUS: EXPIRED X (formerly Twitter) Facebook
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
visualization. The postdoctoral researcher will be hired either at the Department of Culture and Language (https://www.sdu.dk/en/om-sdu/institutter-centre/iks ) or at the Department of Mathematics and Data
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econometric methods for analysing large datasets. Are proficient in coding and data management using tools such as Stata, R, or Python. Have a strong interest in the research area and have a strong independent