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technology, ethics and machine learning, in new and unique ways. The focus of Integreat is to develop ground-breaking methods and theories, and therefore solving fundamental problems in science, technology
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17.515, code 1017 PhD Research Fellow, NOK 550 800 gross salary per year. A compulsory pension contribution to the Norwegian Public Service Pension Fund is deducted from the pay according to current
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the mathematical and computational cultures, and the methodologies and theories, of statistics, logic, language technology, ethics and machine learning, in new and unique ways. The focus of Integreat is to develop
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constellations in the service of democracy and human rights. The workplace is Bergen, Norway. Work tasks: Investigate the shifting dynamics of power, human agency and flourishing in current, emerging and future
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Qualifications All items are requirements, unless it is specified that they are preferred qualifications. Master’s degree (120 ECTS credits) (or equivalent qualifications) within Mechanical Engineering, Electrical
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for this job See advertisement The position A PhD position is available at the Department of Electrical Engineering , Faculty of Engineering Science and Technology in AI-Automated Voltage Control (VC
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degree (120 ECTS credits) (or equivalent qualifications) within Mechanical Engineering, Electrical Engineering, Energy Systems Engineering, or a closely related field Documented knowledge of relevant
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) (2026-2030). An overarching goal of the CatS project is to generate a formal theory of categories, category shifts, and category boundaries, which links together semantic, pragmatic, and morphosyntactic
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intention reflects the persistent tension between practice and theory in teacher education, and the postdoctoral project will engage with these issues and develop innovative solutions to the challenges
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qualifications Master’s degree in Information and Communication Technology (ICT), Computer Science, Artificail Intelligence, Machine Learning, Data Science, Electrical and Computer Engineering, or a similar