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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Oslo
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/ ). By combining advanced machine learning techniques with qualitative methods, the project will investigate usage patterns and engagement levels with a health app across multiple European countries
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. The applicant must have an academically relevant education corresponding to a five-year master’s degree or a cand.med.vet. degree, with a learning outcome corresponding to the descriptions in the Norwegian
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, infrastructure stability, and ocean monitoring. We work in close collaboration with the European Space Agency, the Norwegian Space Agency, and several national and international partners. We are now seeking a
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/ ). By combining advanced machine learning techniques with qualitative methods, the project will investigate usage patterns and engagement levels with a health app across multiple European countries
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centre funded by the Research Council of Norway (2025-2030). It comprises more than 200 faculty members from many higher education institutions in Norway, in collaboration with numerous public and private
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application process here. About the position The Department of Mechanical and Industrial Engineering has a vacancy for a PhD Candidate in Learning the engineering from blueprints of past technical artefacts
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HEPARD Unique? International and Interdisciplinary Training: Benefit from a unique opportunity to study and collaborate across multiple European institutions, gaining exposure to diverse academic
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
models. Profiles of varying complexity will be studied. The candidate will establish and validate numerical simulations, collaborate with industrial partners, and demonstrate results through relevant
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, epidemiology, high dimensional statistics, infectious disease, machine learning and mathematical modelling. The centre has numerous collaborations with leading biomedical research groups internationally and in
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System Operation and Analysis (PSOA) at IEL, where we foster an open, inclusive, and collaborative working environment. Our working environment is characterized by a friendly, supportive atmosphere, with