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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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Andreas Østvik (NTNU/SINTEF Digital). Your immediate leader will be the Head of Department. About the project The doctoral work is part of the project “Beyond Images – Multimodal Learning for Improved
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, you can expect: An attractive and supporting learning environment Participation in research groups Close supervision Skilled supervisors Excellent job prospects The programme is administered by
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Innovation, SFI-CELECT (Research Centre for Effective Engineering and Learning in Complex Systems) . The positions are 3-year doctoral research fellowships starting in 2026. The PhD candidates will be embedded
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elective courses and secondments. Blended Learning Approach: Our training combines intensive in-person workshops at partner institutions with regular interactive online seminars, journal clubs, and research
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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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/ ). 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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desirable. Experience with mass spectrometry–based proteomics and downstream data analysis is desirable. Experience with, or motivation to learn, electrophysiological methods and functional cell-based assays
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career plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. Research topic The Research
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and secondments. • Blended Learning Approach: Our training combines intensive in-person workshops at partner institutions with regular interactive online seminars, journal clubs, and research
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that the PhD candidates complete their degrees within the nominal length of study an attractive and good learning environment for PhD candidates The programme offers several courses and candidates from other