218 professor-computer-"https:"-"https:"-"https:"-"https:"-"https:"-"Brunel-University-London" positions in Sweden
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treatments for brain injuries and is at the forefront of its field. You can read more about our exciting research here. The research group is led by Professor Malin Parmar and comprises both research and
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, collaborating closely with the project team throughout all stages of data collection and analysis. The position will be supervised by Lennart Olsson, Professor at the Lund University Centre for Sustainability
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are united in our efforts to understand, explain and improve our world and the human condition. Workplace Description The research group is led by Professor Johan Malmström, whose goal is to develop methods in
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for Clinical Sciences Lund University in Malmö. The group consist of 3 PhD students, 2 postdocs and does research on various aspects of anesthesia and intensive care. The group is headed by associate professor
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January 2026. Please note that incomplete applications will not be considered. More information For more information contact the Project Leader, Associate Professor Daniel Movilla Vega, email
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work on the project together with Professor Ester Barinaga. We seek a candidate interested in developing this line of research with a deep interest and specialization in Complementary Currencies and
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Information Technology works broadly with research within Cryptography, Computer Security, Wireless, and Fixed Networks. The security group has around 20 members. The main research directions are Cryptography
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with high productivity and the research group is inter-professional. The Perinatal laboratory and research group is led by Professor Bo Jacobsson. Our research group is located at the University
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-2024-COG no. 101171587) and is led by the Principal Investigator Yafa Shanneik, Professor of Islam and Society at SOAS , University of London. The project examines how state-led genetic healthcare
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life science technologies with data and AI expertise. Computational methods and artificial intelligence applied to large-scale molecular data are transforming the study of biological systems at all