258 data-"https:" "https:" "https:" "https:" "University of Amsterdam" Postdoctoral positions in Sweden
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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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international research collaborations to generate cutting-edge research and outreach to further ecology as science and promote sustainable agriculture. More about the Department: https://www.slu.se/en/departments
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, leonard.blaschek@slu.se Where to apply Website https://jobrxiv.org/job/umea-plant-science-center-27778-postdoctoral-researcher… Requirements Additional Information Work Location(s) Number of offers available1Company
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Information Work Location(s) Number of offers available1Company/InstituteKarolinska Institutet (KI)CountrySwedenCityHuddingeGeofield Contact City Huddinge Website https://ki.se/en/about/jobs-at-ki STATUS
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Experience4 - 10 Research FieldPhysicsYears of Research Experience4 - 10 Research FieldPhysicsYears of Research Experience4 - 10 Additional Information Website for additional job details https
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13 Feb 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Informatics Computer science » Programming Computer science » Other Educational
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most two pages, explaining your motivation, research goals and why you fit the advertised position. The workplace The Department of Computer and Information Science was founded in 1983, but its roots go
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. Information about the workplace: https://liu.se/en/organisation/liu/ifm https://liu.se/en/research/m2lab The employment This employment is a temporary contract of two years with the possibility of extension up
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6 Mar 2026 Job Information Organisation/Company Luleå University of Technology Research Field Other Researcher Profile First Stage Researcher (R1) Application Deadline 3 May 2026 - 12:00 (UTC
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This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification