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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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in collaboration with the Department of Computer Science at UiT - The Arctic University of Norway. The suitable candidate will be interested in examining the legal implications of AI and other new
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projects will work towards this goal. PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
, Sustainable Finance, and Twin Transition Apply for this job See advertisement About the positions Inland School of Business and Social Sciences , The PhD programme Innovation in Services in the Public and
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to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position or after the start of the research project that will lead to the PhD degree. It is a condition that you
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must participate in an approved educational programme for a PhD degree within a period of 4 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is
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degree in digital culture, digital humanities, computational media, literary studies, media studies, creative writing, or a related field, including computer science. It is a condition of employment that
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, computational media, literary studies, media studies, creative writing, or a related field, including computer science. It is a condition of employment that the master's degree has been awarded by the application
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(e.g. teaching at the Institute). The position is associated with the research group in energy at the Geophysical Institute, the Bergen Offshore Wind Center and the energy informatics lab
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combines approaches from computational physics, machine learning, neuroscience, and gene technology. The postdoc is expected to contribute to develop machine learning models for the construction