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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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. The successful candidate will work with behavioural and / or neuroimaging studies on neural mechanisms for space, time and memory, in collaboration with neuroscientists and neurologists. The studies will include
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This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will...
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This PhD programme is multidisciplinary and cross-disciplinary building on applied mathematics and physics, technology and engineering—and the interplay between these. The programme has an applied
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cybernetics, control engineering, machine learning, statistics, informatics, mechanical engineering, or maritime technology. You must have a Master's degree in engineering, informatics, or equivalent. Your
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academically relevant background such as for example engineering cybernetics, control engineering, machine learning, statistics, informatics, mechanical engineering, or maritime technology. You must have a
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collaborations across Norwegian universities, research institutes, industry, public agencies, and leading global institutions. We welcome motivated applicants in robotics, control, AI, machine learning, physics
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, machine learning, physics, and related fields, including early-stage researchers eager to contribute to this emerging scientific frontier. Duties of the position Complete your doctoral education leading
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institutions. We welcome motivated applicants in robotics, control, AI, machine learning, physics, and related fields, including early-stage researchers eager to contribute to this emerging scientific frontier
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, machine learning, physics, and related fields, including early-stage researchers eager to contribute to this emerging scientific frontier. Duties of the position Fundamental contributions in embodied AI
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. We welcome motivated applicants in robotics, control, AI, machine learning, physics, and related fields, including early-stage researchers eager to contribute to this emerging scientific frontier