225 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "J. F" PhD positions in Norway
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NMBU is at the same time an application 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
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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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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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. 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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algorithms for inference and decision-making by pushing the boundaries of the underlying computational techniques. SURE-AI researchers will drive a transformative leap in AI through a groundbreaking Centre
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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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for recognition of foreign higher education You must meet the requirements for admission to a PhD Programme at the Faculty of Humanities. The most relevant PhD programme is in Historical and Cultural Studies Very
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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