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fundamental discoveries in biology and medicine as well as several Nobel Laureates. Become part of our community! In Prof. Torsten Schwede's group, we use computational methods, with a strong focus on
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. The project will contribute to research within human–computer interaction and human factors on topics including: human–AI teaming in safety-critical work AI transparency and explain-ability in operational
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. You must have a relevant Master's degree in computer science, electrical engineering, imaging science or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120
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municipality. Your supervisor will be Associate Professor Andrei Lobov . Your immediate leader will be the Head of Department. About the project Funded in the framework of the Driving Urban Transitions (DUT
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Professor Dirk vom Lehn and Dr Juan Baeza (King’s Business School, PSMO) as well as by Michael Bowen (College of Optometrists). Collaboration The studentship is supported by the Research and Knowledge
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requirements of, and being formally enrolled in, the relevant PhD program at QUT. What happens next? Only applicants who are successful in the project selection process and formally notified will be invited
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Supervisors: Dr Negar Gilani and Professor Richard Hague The Centre for Additive Manufacturing (CfAM) Research Group within the Faculty of Engineering at the University of Nottingham, recognised as
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Promoting a Green Transition What we expect: The applicant should have completed a Master’s degree (MS / MSc / MTech / ME etc.) in Software Engineering, Information Technology, Computer Science, Artificial
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. The group consists of doctoral and post-doctoral researchers from diverse backgrounds. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/projects Successful candidate
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UiA. The successful candidate will spend 18 months at UiA followed by 18 months at the BE-CEM group at CERN, while remaining active in the PhD programme at UiA for the full 36 months. The PhD Candidate