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in one or more of the following research areas is desirable: geometric numerical integration, structure preserving deep learning, stochastic differential equations, generative AI, numerical
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society. We teach and conduct research in cyber security, information security, communications networks and networked services. Our areas of expertise include biometrics, cyber defence, cryptography
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collaborative learning processes Developing the research competence required to complete a doctoral degree Required selection criteria You must have a professionally relevant educational background in psychology
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principles for BGC expression and to support iterative AI-guided design–build–test–learn cycles. The precise scope of the doctoral project will be refined according to the candidate’s qualifications, the BGCs
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, from resources to the end-user. We look at how energy is produced and used by humans and machines in a sustainable way with regard to health, climate change and the resource base. The Department
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skills in English. Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Willingness to learn new fields and adapt to a multidisciplinary research environment
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the entire energy chain, from resources to the end-user. We look at how energy is produced and used by humans and machines in a sustainable way with regard to health, climate change and the resource base
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@nmbu.no Information for PhD applicants and general Information to applicants . Interested in learning more about the position? We are happy to tell you more about life on campus. Application Send
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information, please contact Associate Professor Juuso Sammaljärvi E-mail: [email protected] Information for PhD applicants and general Information to applicants . Interested in learning more about the position
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interpreting complex datasets is an advantage. Programming experience is advantageous but not required; willingness to learn will be considered a strength Quality of the master's thesis and the relevance