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description Integreat - the Norwegian Centre for Knowledge-driven Machine Learning at the University of Oslo invites applications for a doctoral research fellowship. The PhD candidate will work at the
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research directions aimed at developing advanced autonomous and robotic solutions to support next-generation drone operations in agriculture, addressing current limitations in endurance, efficiency
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their doctoral work as part of the project "Health and Migration (HEMI): A Multi-country Study of African Male Migrants". The project is funded by the Research Council of Norway, and is implemented in
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a PhD Candidate with us, you will work to achieve your doctorate, and at the same time gain valuable experience that qualifies you for a further career in higher education and research, in and outside
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Machine Learning at the University of Oslo invites applications for a doctoral research fellowship. The PhD candidate will work at the interface of machine learning, statistics, probability, and with
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Phytoplankton Ecology and Ocean Colour research group (Associate professor Pauliina Salmi) of the Marine Sciences division of NTNU’s Department of Biology, you will work in an interdisciplinary team of marine
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able to: Show curiosity and a strong motivation for the subject and in general for acoustics Work in a structured way, set goals and make plans to achieve them Present and discuss your research with
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. This is a term position with a duration of 3 years. The successful PhD candidate will work in a team with several researchers/professors including international collaborators and another PhD at the Faculty
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”, funded by the Trond Mohn Research Foundation. About the project/work tasks The main aim of this PhD-project is to understand how climate, glacial(-fluvial) erosion, and tectonic deformation interact over
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the migration process. A total of four PhD candidates will work on the project together with an international and multidisciplinary team of senior researchers and civil society partners. The PhD candidate