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Position as PhD Research Fellow in formal methods for data protection in digital twins is available at the Department of Informatics. Starting date no later than December 1, 2025. The fellowship period is
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educational programs in health and social science professions, as well as continuing and further education, and several master's programs. The faculty offers the PhD program “Health, Function, and Participation
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Research Fellow available in Machine Learning is available in the Department of Informatics and the Norwegian Centre of Excellence Integreat . Starting date as soon as possible and upon individual agreement
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Assistant Professor Kjetil Lauvland Bjørnevik at Harvard T.H Chan School of Public Health i Boston with Associate Professor Jannicke Igland as local principal investigator at the University of Bergen About
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must participate in an approved educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is
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to the PhD position must have a Master’s degree (120 ECTS) equivalent higher education qualifications in computer science, AI, cybernetics, bioinformatics, or related fields. The degree must be accomplished
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already developed MS. The project will apply advanced methods on causal inference in observational studies. The work package is led by Assistant Professor Kjetil Lauvland Bjørnevik at Harvard T.H Chan
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There is a vacancy for a PhD Research Fellow in Experimental subatomic physics at the Department of Physics and Technology (IFT). The position is for a fixed-term period of 3 years with the possibility of a
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expected to develop and conduct a dissertation according to the standards of the Faculty of Social Sciences at UiO . The candidate will be part of the PhD education and program at TIK and the Faculty and
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A Doctoral Research Fellowship in Machine Learning for Critical Healthcare is available at the Faculty of Computer Sciences, Engineering and Economics at Østfold University College (ØUC). The research