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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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engineering, building physics, material science, data science, or a related field. Foreign degrees must correspond with the admission criteria for the PhD program. Candidates submitting M.Sc. thesis within 30
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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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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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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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programme at the institution. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as an attachment. Main tasks Plan and conduct animal trials, with
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. The applicant is made aware that an application for a PhD position at NMBU is at the same time an application for admission to a PhD programme at the institution. The documentation that is necessary to ensure
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for admission to a PhD programme at the institution. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as an attachment. Main tasks Two or three elements out
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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