317 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs in Sweden
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located at SciLifeLab in Stockholm. Our research is focused on cell biology, spatial proteiomics and machine learning for bioimage analysis. The aim is to understand how human proteins are distributed in
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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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ecology and in ecosystem-based management. As a person, you are responsible and good at communicating. You enjoy working in a group and demonstrate capacity for learning new things, working systematically
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is considered the official date of completion. Exceptions to the three-year eligibility limit may be made for documented circumstances such as parental leave, sick leave, or military service. What you
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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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clicking the button below. Union representatives: https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering/ The Swedish University of Agricultural Sciences (SLU) has a
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Instructions on how to apply Applications shall be written in English and be compiled into a PDF-file containing: CV, including a list of publications, Where to apply Website https://lu.varbi.com/en/what:job
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wider society. 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
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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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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