868 machine-learning "https:" "https:" "https:" "https:" "https:" "Bournemouth University" positions in Sweden
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of April 2026, UFV-PA 2026/751 Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden. Where to apply Website https://uu.varbi.com
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the CoSTAR Team lead by NASA/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy
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, Personnel Officer Marianne Palmér (marianne.palmer@lnu.se), +46-(0)480-447303 Would you like to know more about the department of biology and environmental science? Learn more at Lnu.se. Welcome with your
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will be found on our career site: https://www.oru.se/english/career/available-positions/applicants-and-external-experts/ The application deadline is1st of April, 2026. We look forward to receiving your
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imagine recruiting either a postdoc with thorough training in biochemistry structural biology who is eager to learn virology, or a postdoc with a strong background in molecular, mechanistic virology who is
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University of Gothenburg, Department of Education, Communication and Learning | Sweden | about 2 months 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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initiative started in 2018 with the purpose of advancing Swedish academia and industry to the forefront of quantum technology, and to build a Swedish quantum computer). For the research on quantum optics with
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today and in the future. For more information: http://www.slu.se/en/departments/forest-ecology-management/ Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about
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the last three years prior to the application deadline. Experience in some of the following areas is meritorious: AI and machine learning; convex analysis; functional analysis; mathematical statistics
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, or quantum-inspired methods Experience with hybrid quantum–classical algorithms or optimization methods Background in uncertainty quantification, reduced-order modeling, or machine learning Experience