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advertisement About the position Position as PhD Research Fellow in Machine Learning is available in the Department of Informatics and the Norwegian Centre of Excellence Integreat . Starting date as soon as
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, our expertise spans molecular biology, physiology and cardiology. The project will be supervised by Senior Researcher Cathrine Rein Carlson, whose research team is involved in national and international
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at the Department of Informatics. Starting date no later than December 1, 2025. The fellowship period is three years. A fourth year maybe considered and it will involve 25 percent of other career-promoting work
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Research Fellow in Bioinformatics and Gene Regulation is available in the Bioinformatics in Life Science environment at the Department of Biosciences (IBV), University of Oslo. The starting date is expected
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at Centre for Space Sensors and Systems (CENSSS) at the Department of Technology Systems (ITS). Starting date no later than November 1, 2025. The fellowship period is three years. A fourth year maybe
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) in Innovation studies is available at the TIK Centre for Technology, Innovation and Culture . The position forms a part of the Norwegian Research Council funded research project AIP – «Artificial
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the course of the period of employment Francesco Saggio/UiO via Unsplash Francesco Saggio/UiO What skills are important in this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition to
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Machine learning connected to the Scientific Computing and Machine Learning (SCML) group at the Department of Informatics. The candidate will be part of and contribute to the research activities in
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approximately 60 employees and six research groups, our expertise spans molecular biology, physiology and cardiology. The project will be supervised by Senior Researcher Cathrine Rein Carlson, whose research team
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position Position as PhD Research Fellow is available at the Department of Technology Systems (ITS) as a part of the European ATLAST2 Project. The project is a concept for a next generation 50-meter class