268 structures "https:" "https:" "https:" "Robert Gordon University" Postdoctoral positions in Sweden
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. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14445&rmlang
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Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest biotechnology in Northern Sweden. Our mission is to perform excellent and
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. Where to apply Website https://lu.varbi.com/en/what:job/jobID:906273/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation LevelPhD or equivalent Research FieldMedical
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distributed WaRM experiment (for details see here: https://onlinelibrary.wiley.com/doi/10.1002/ece3.9396). The employment is fulltime for three years. The deadline for applications is March 26, 2026 and the
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weaving, knitting, dyeing, and clothing. You should have basic knowledge of electronics and a good ability to collaborate with internal and external parties, take initiative, work in a structured way, and
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results your qualifications and ability to realise the project Where to apply Website https://lu.varbi.com/en/what:job/jobID:905213/type:job/where:39/apply:1 Requirements Research FieldReligious
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). Link to log in and apply https://kth.varbi.com/se/what:job/jobID:880654/ About the employment The position offered is for, at the most, two years. A position as a postdoctoral fellow is a time-limited
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these languages, are mandatory. Submission site link: https://crp.dsv.su.se/df-postdoc-call/ Eligibility To be eligible, applicants must have: A doctoral degree or an equivalent foreign degree. If you have had
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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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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