201 computer "https:" "https:" "https:" "https:" "I.E" "UCL" PhD scholarships in Norway
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approved PhD program. The successful candidates are expected to start on 1st September 2026. Qualification requirements and personal skills Applicants must hold a Bachelor’s and a Master’s degree or
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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
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
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-year Norwegian degree program, where 120 credits are obtained at master's level. Master's students can apply, but the master's degree must be obtained and documented before starting the position. You
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progress as an independent researcher Be prepared for changes to your work duties after employment. Required selection criteria You must have a relevant master’s degree in telecommunications, computer
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, engineering design, artificial intelligence, computer science, with good skills in mathematics, programming, and applied AI. Candidates with strong AI and programming skills and a demonstrated interest in
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phenomenon known as the Workman-Reynolds freezing potential (WRFP). Until now, no attempts have been made to harness energy from this freezing process. The ERC-funded Icevolt project aims to combine computing
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co-supervisors. Duties of the position Complete the doctoral education until obtaining a doctorate To undertake the necessary courses as part of the PhD program Perform research and report progress
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BI Norwegian Business School offers a four-year PhD program in business and economics. We are pleased to announce that we are inviting applications for PhD scholarships for the Leadership and
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. The programme is characterized by methodological and theoretical diversity. The training component consists of 30 ECTS credits and will support the work you do in the research component (the thesis
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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