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Physics » Optics Engineering » Electrical engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Leading Researcher (R4) Positions Postdoc Positions Application Deadline 1 Jul
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3 Apr 2026 Job Information Organisation/Company Nicolaus Copernicus University Department Faculty of Physics, Astronomy and Informatics Research Field Physics Researcher Profile Recognised
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ecology and population biology of plants (Reference code 71) Working time: 40 hours per week Term of the employment relationship: 1st of October 2026, limited to a period of 6 years Workplace: 1180 Vienna
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) Positions Postdoc Positions Application Deadline 17 May 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 20 hours ago
16 Apr 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Mathematics Researcher Profile Recognised Researcher (R2
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2 Apr 2026 Job Information Organisation/Company Eötvös Loránd University Department Institute of Geography and Earth Sciences, Faculty of Science Research Field Geography » Other Researcher Profile
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. Your competences You have academic qualifications at PhD level. Candidates can have a background in a (bio)medical discipline (incl. medicine or dentistry), medical physics, computer/data science
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31 Mar 2026 Job Information Organisation/Company University of Oslo Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 22
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the Study of Religion: 12 months Faculty of Law: 12 months Faculty of Business, Economics and Informatics: 12 months Faculty of Medicine: 12 months Vetsuisse Faculty: 12 months Faculty of Arts and
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together with their supervisors, as well as with other doctoral students and postdocs in the supervisors’ groups. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence