401 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs in Sweden
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of Medicine at Sahlgrenska Academy, University of Gothenburg. General information about being a doctoral student at the University of Gothenburg can be found on the university's doctoral student pages https
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superconducting circuits. You will work in the stimulating research environment of the Wallenberg Centre for Quantum Technology (WACQT) . The core project of the centre is to build a quantum computer based on
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of Research Experience1 - 4 Research FieldPhysicsYears of Research Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers
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Initiative for gender equality and excellence . If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Find more general information about doctoral studies at Chalmers
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5 Feb 2026 Job Information Organisation/Company Karolinska Institutet (KI) Department Karolinska Institutet, Department of Global Public Health Research Field Medical sciences » Medicine Researcher
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for how robots can communicate, regardless of which robot, which context, which environment. This interdisciplinary project combines theory-driven research with empirical investigation. It will involve data
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dimensions of practices in leading co-creation between humans and AI. See the link below for further information about WASP-HS research and graduate school: https://wasp-hs.org/about/ https://wasp-hs.org
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and Europe) provide a unique opportunity to look at both individual and population level data of viromes and their interactions. We are looking for candidate that wants to work in a multidisciplinary
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maximum of five years. The entry level salary is SEK 30,900 and rises in three steps to SEK 35,600. Additional information Doctoral students are affiliated with a research school, normally the Faculty
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This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification