29 assistant-and-professor-and-computer-and-science-and-data Fellowship positions at University of Oslo in Norway
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behavioral sciences, statistics, or computer science evaluating and/or developing advanced quantitative psychometric methods. Doctoral dissertation must be submitted for evaluation by the application closing
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of Oslo and partners both nationally and abroad. The Postdoctoral research fellow will be affiliated with the SolidState Physics and Quantum Technology Section with around 80 highly dedicated professors
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requirements Applicants must hold a degree equivalent to a Norwegian doctoral degree in one of the social and behavioral sciences, statistics, or computer science evaluating and/or developing advanced
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. The position is based at the Department of Informatics, University of Oslo, and will be part of a growing research agenda at the intersection of geographic information systems, epidemiology, machine learning and
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robotics, computer science, mechanical engi-neering, electrical engineering or related fields. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational
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the final exam. Desired qualifications: Experience in areas such as machine learning, computer vision, control sys-tems, perception, control engineering, or autonomous systems Familiarity with ROS (Robot
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district in Norway – Oslo Science City. The Department of Pharmacy will move into the new Life Science building in 2026. Questions about the position For further information please contact Trine Grønhaug
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(FACS), T cell functional assays, and managing complex transgenic mouse colonies is required. Computational & Data Analysis: Proficiency with software such as FlowJo and GraphPad Prism is expected
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can also be considered given that the candidate has formal competence in machine learning and/or image analysis/computer vision A solid and documented background in machine learning, mathematics, linear
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Transgenic Facility. This is a collaborative effort with the laboratory of Professor Sidonia Fagarasan at Kyoto University, and includes a research exchange. Analyze imaging data using Imaris and custom