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public and private partners, and is led by the University of Oslo, SINTEF and the Norwegian Computing Center (NR). The Centre for the Study of Professions (SPS) is a leading research and doctoral training
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sector to study how intelligence emerges from the interaction between body, computation, and environment, across flying, ground, and aquatic robot configurations. Our mission is to chart a generalizable
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education, research, and collaboration with the communities around us. Our PhD program in Business is a fully-funded three- or four-year research education, which includes an intensive course component
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for admission to the Doctoral Programme - PhD - Faculty of Engineering Science - NTNU Good written and oral communication skills in English PLEASE NOTE: For detailed information about what the application must
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mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få
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of a PhD degree. The research fellow will be enrolled in the PhD program at the Department of Archaeology, Conservation and History at the University of Oslo and is expected to complete the project
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, Computational engineering or applied mathematics, Data science or Artificial intelligence. You must have a Master's degree in above listed areas or equivalent. Your course of study must correspond to a five-year
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) Karima El Ganaoui, ESTI Pau CY Tech, M24, duration: 4 weeks, AI materials Duties of the position Take part in the mandatory PhD research education programme Develop a quantitative deep-learning-based
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Doctoral programme: PhD in Engineering (Doctoral Programme) 3 years - Trondheim - NTNU A background in separation techniques, particularly flotation Experience or interest in flotation, surface chemistry, or
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for a PhD education. You must meet the requirements for admission to the Faculty of Engineering Doctoral programme: PhD in Engineering (Doctoral Programme) 3 years - Trondheim - NTNU Strong analytical