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analysis, machine learning, and interactive and collaborative systems. The prospective PhD candidate will work in close cooperation with our current PhD students within the PhD programme. PhD research
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interest and competence in practical application of statistical learning or machine learning Working environment: The project will be done in an interdisciplinary team. The successful candidate will work in
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engineering, engineering computing, sensor networks and measurement technologies, grid computing and physics data analysis, machine learning, and interactive and collaborative systems. The prospective PhD
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and master's level in engineering and science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's
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engineering, engineering computing, sensor networks and measurement technologies, grid computing and physics data analysis, machine learning, and interactive and collaborative systems. The prospective PhD
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programming (e.g. Python) is a requirement. Experience with machine learning is an advantage. Experience from free energy calculations is an advantage. Applicants must be able to work independently and in a
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generative AI Familiar with machine-driven text mining techniques Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Highly motivated, independent and
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31st August 2025 Languages English English English The Department of Computer Science has two vacancies for PhD Candidates in Compiler Technologies Apply for this job See advertisement This is NTNU
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or Machine Learning). The Master’s thesis must be included in the application. Ideal Candidate: Demonstrates experience or strong interest in modelling, programming, systems thinking, and qualitative
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, Mathematics (Operations research) or Computer Science or Machine Learning). The Master’s thesis must be included in the application. Ideal Candidate: Demonstrates experience or strong interest in modelling