853 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions in Sweden
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- University of Gothenburg, Department of Education, Communication and Learning
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terms The Doctoral student positions are fully funded from start. The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five
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, and troubleshooting system failures Handover to incoming operators on shift changes Radiation safety tasks when necessary Machine development, automation, and documentation tasks The role of Accelerator
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at https://nbis.se. Duties We are seeking a candidate who wants to help enable life science research in Sweden that goes beyond what is achievable by individual researchers, a single university, or a single
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For more information about Precillience, see: https://www.precilience.eu Read more about our benefits and working at SLU by visiting https://www.slu.se/en/about-slu/work-at-slu/ Location Uppsala Type
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within data-driven Life Science research. More information about NBIS can be found at https://nbis.se . Duties We are looking for someone who wants to help enable life science research in Sweden that goes
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-driven Life Science research. More information about NBIS can be found at https://nbis.se. Duties We are seeking a candidate who wants to help enable life science research in Sweden that goes beyond what
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to machine learning is well funded and continuously publishes in high impact journals. We foster a creative working environment, where you will find freedom to implement, develop, and publish research
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University of Gothenburg, Department of Education, Communication and Learning | Sweden | about 1 month ago
5 Feb 2026 Job Information Organisation/Company University of Gothenburg, Department of Education, Communication and Learning Research Field Educational sciences Researcher Profile First Stage
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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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data using multivariate statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft