313 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs in Sweden
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and Welfare Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala Form of employment: Temporary employment 24 months Scope
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to certain circumstances, such as sick leave, parental leave, military duties, etc. Evidence of expertise in cell biology/immunology/physiology and biotechnology, demonstrated through degrees, publications and
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in English or Swedish. Closing date for applications: 3 May, 2026 Reference number: 2304-2026 Where to apply Website https://web103.reachmee.com/ext/I003/583/main?site=5&validator=68a0c61034f021ba
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. Last day for application is 2026-02-28. Departmental specific information At the Department of Diagnostics and Intervention, we conduct research and teach within nine different subject areas, working
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that you will help us to build the sustainable companies and societies of the future. The research at the Division of Machine Elements is mainly focused on tribology and its applications. The research group
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University? Find out more about what it´s like to work and live in Sweden. Where to apply Website https://uu.varbi.com/en/what:job/jobID:902324/type:job/where:39/apply:1 Requirements Research
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place at undergraduate and advanced levels, mainly in programmes leading to degrees in agronomy and biology. For more information about the department or division visit: https://www.slu.se/en/about-slu
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» Biochemistry Chemistry » Other Computer science » Informatics Computer science » Computer systems Computer science » Digital systems Medical sciences » Medicine Medical sciences » Other Researcher Profile First
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will (micro-)benchmark Java-based applications using JMH. You will collect performance measurements from real projects, statistically analyse them, and conduct experiments with modern machine learning
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Communication at the Department of Communication and Learning in Science, and a member of our graduate school Communication and Learning in STEM. The division’s research is situated at the intersection