204 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "St" "St" 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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at the same time an application for admission to a PhD program 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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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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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