269 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" Postdoctoral research jobs in Sweden
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1 Feb 2026 Job Information Organisation/Company Karolinska Institutet (KI) Research Field Biological sciences Medical sciences Researcher Profile Recognised Researcher (R2) Application Deadline 14
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Description Postdoc in Algebraic Geometry KTH Royal Institute of Technology, School of Engineering Sciences Job description The department of mathematics is inviting applications for a two-year postdoctoral
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: Temporary employment Period of employment/Start date: As agreed Scope: Full time Number of positions: 1 Closing date for application: 31 March 2026 Campus location: Eskilstuna Department: Engineering Sciences
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23 Mar 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. URL to this page https://web103
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28 Feb 2026 Job Information Organisation/Company Karolinska Institutet (KI) Research Field Psychological sciences Researcher Profile Recognised Researcher (R2) Application Deadline 6 Apr 2026 - 21
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postgraduate education in ecology, environmental science and physical geography. The department has about 160 employees, about 30 of whom are postdoctoral researchers. For more information, visit: https://www2
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Keen to push the frontiers of multiphase reactor modeling and accelerate the scale-up of emerging net-zero technologies? Join us at the Department of Chemistry and Chemical Engineering ! About us
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. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. Where to apply Website https://academicpositions.com/ad/chalmers-university-of-technology/2026/postdoc
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models