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- NTNU - Norwegian University of Science and Technology
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”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
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NMBU. The applicant must have an academically relevant education corresponding to a five-year master’s degree, with a learning outcome corresponding to the descriptions in the Norwegian Qualification
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level. Some of the best lecturers in Norway are amongst our employees, and we are proud of our prizewinning teaching and learning environment. The Department has 200 employees, of which 50 are permanent
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compounds in collaboration and support with experienced radiochemists. The candidate will acquire and analyze PET/SPECT imaging data, perform kinetic modeling, and contribute to advanced image analysis
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and popular science dissemination Participate in international activities such as conferences and/or research stays at foreign educational institutions Teaching (optional but recommended, learning
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. The successful candidate will acquire broad training in the necessary research skills, and the position will suit a candidate who is motivated to undertake high-level research in the interface between different
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program development, partnerships between educational institutions and other stakeholders, and the impact of higher VET on career pathways and lifelong learning. Required selection criteria You must have a
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programmes at bachelor’s and master’s level. Some of the best lecturers in Norway are amongst our employees, and we are proud of our prizewinning teaching and learning environment. The Department has 200
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-minded, well organized, looking forward to learning and developing new techniques and has good communication skills. Employment in the position is based on a comprehensive assessment of all qualification
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foundation for theory-guided catalyst design e. g. by machine learning approaches. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within