33 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" PhD positions at NTNU Norwegian University of Science and Technology
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utilization and development of materials. The Department of Physics is one of eight departments in the Faculty of Natural Sciences . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294062
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collaborations across Norwegian universities, research institutes, industry, public agencies, and leading global institutions. We welcome motivated applicants in robotics, control, AI, machine learning, physics
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of eight departments in the Faculty of Engineering. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294565/phd-candidate-in-cost-eff… Requirements Research FieldEngineeringEducation
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for a PhD education Master students can apply, but the MSc degree must be obtained and documented by 1st of July 2025 You must meet the requirements for admission to the faculty's doctoral program (https
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calculations Knowledge about machine learning application in condensed matter Knowledge about magnetism, superconductivity, and topological order Personal characteristics We are looking for a candidate who is
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particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme https://www.ntnu.edu/nv/phd Good oral and written presentation skills in
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of current work processes. The project will adopt social science and sociotechnical perspectives such as computer supported collaborative work, HCI or organizational sociology to investigate the intra- and
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mixed models, permutational methods, Bayesian analyses, machine learning algorithms, structural equation modeling). A good practical knowledge of R Personal characteristics To complete a doctoral degree
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the health services. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/290397/phd-candidate-in-medicine… Requirements Research FieldMedical sciencesEducation LevelMaster Degree
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and 5.0. System engineering and socio-technical systems AI-supported adaptive continuous learning Industrial cybersecurity, supply chain security Semantic modelling of industrial artefacts, knowledge