240 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "UCL" "UCL" "UCL" Postdoctoral positions in Sweden
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forest growth, survival and biodiversity for the future use and conservation of forests. More information: https://www.slu.se/en/wiforce . The work aims to generate new knowledge and contribute
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reality. The person taking this position will be working with the team at the computer science and engineering department mostly on the performance engineering and hardware-aware code optimizations
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Meijer ST-OFR/S, phone: +46 21-10 14 89 We decline all contact with recruiters and sellers of advertisements. We have made our strategic choices for this recruitment. Contact person URL to this page https
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contact with staffing and recruitment companies as well as sellers of recruitment advertisements. Where to apply Website https://www.hb.se/en/about-ub/work-at-ub/job-vacancies/ Requirements Research
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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
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to act as references. A brief research statement (1-4 pages) outlining your research interests, including previous work and independent research plans. Applications to be made at https://web103
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. The application should be registered via Umeå University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:887298/ ) and submitted by the deadline 18 March 2026. Please apply at with
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of grades, information for references, letters of recommendation, etc.). Where to apply Website https://lu.varbi.com/en/what:job/jobID:908809/type:job/where:39/apply:1 Requirements Research FieldMedical
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of referees, letters of recommendation, etc.)” Welcome to apply! Where to apply Website https://lu.varbi.com/en/what:job/jobID:910636/type:job/where:39/apply:1 Requirements Research FieldEngineeringEducation
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considered for the position. Where to apply Website https://lu.varbi.com/en/what:job/jobID:908591/type:job/where:39/apply:1 Requirements Research FieldPolitical sciencesEducation LevelPhD or equivalent