97 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at University of Lund in Sweden
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project grants awarded by the Knut and Alice Wallenberg Foundation. CMPS comprises research groups with competence in a range of biochemical and biophysical methods (please see: https://www.cmps.lu.se
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project grants awarded by the Knut and Alice Wallenberg Foundation. CMPS comprises research groups with competence in a range of biochemical and biophysical methods (please see: https://www.cmps.lu.se
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environment? Then join us and take the opportunity to make a real difference! For further information, please visit: https://www.lunduniversity.lu.se/about-lund-university/work-lund-university www.sweden.se
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, selection and interviews are conducted on a rolling basis. Probationary period may apply. For further information, please visit: https://www.lunduniversity.lu.se/about-lund-university/work-lund-university
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teaching and learning in higher education and get the opportunity to learn Swedish through the University’s Swedish language courses for new international staff. As you prepare to move to Sweden, we offer
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information is available at the Department’s website: http://www.ekh.lu.se/en. Lund University announces a position as associate professor (lector) in Economic History. The position starts 1 of July 2026
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lecturer, with opportunities for further career advancement You will receive five weeks of training in teaching and learning in higher education and get the opportunity to learn Swedish through
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Two positions as Associate Senior Lecturer/Assistant Professor in Computational Science (PA2026/927)
you may be promoted to a tenured position as a senior lecturer, with opportunities for further career advancement. You will receive five weeks of training in teaching and learning in higher education
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receive five weeks of training in teaching and learning in higher education and get the opportunity to learn Swedish through the University’s Swedish language courses for new international staff. For your
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machine-learning tools. Data analyzed include precursors such as volatile organic compounds, aerosol number and mass concentrations, chemistry, biological particles, cloud and ice condensation nuclei, light