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platforms. Responsibilities and qualifications As a PhD candidate, you will work on developing synergistic workflows to model dynamic, multi-phase systems. Your primary focus will be to overcome
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-second-class undergraduate degree (or a Master's degree) in Computer Science, Mathematics, Statistics, or a closely related field Solid grounding in machine learning and/or probability/statistics
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should have, or expect to achieve, at least a 2:1 honours BSc or Masters degree in optometry, vision science, psychology, neuroscience, physics, engineering, or a closely related discipline. Experience
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motivation Curriculum Vitae (including the names and contact details of two referees) Master’s and Bachelor’s degree certificates and transcripts (original and an official English translation) Completed TEK
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proposed principal supervisor, and copy the link to this scholarship wesbite into question 2 of the financial details section. About the scholarship Neuropathic pain effects “1 in every 10 adults over
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for part-time and/or external study is obtained) commence your degree by 1 Oct 2026 have an honours or master degree in one of these areas: physics theoretical chemistry materials science and engineering
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three Master's programmes (Biochemistry, Biomedicine, and Biomedical Data Science). MHH is part of the IDOH (Infectious Diseases and One Health) Master's programme. A structured doctoral programme for
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valuable framework for examining these interactions and clarifying the roles of the different actors involved. The research consists of two main phases. In the first phase, the researcher conducts
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at NTNU and SINTEF, where fundamental multi-market modelling has been a topic of research over many years. Your main supervisor will be Professor Magnus Korpås , with co-supervisors Professor Arild Helseth
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January for the winter semester: 15 June Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme Yes Description/content The PhD programme in