339 computer-"https:"-"https:"-"https:"-"https:"-"ENS-PARIS-SACLAY" positions in Norway
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interdisciplinary and collaborative research environment, interacting closely with experimental and computational collaborators. You will contribute actively to research, supervision of students, and collaborative
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fields (e.g., public opinion & market research, policy consulting). The hired candidate will be admitted to the PhD program in Social Sciences. The education includes relevant courses amounting to about
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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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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 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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-promoting work will be primarily directed towards strengthening the educational program Finance, Insurance and Data Science. The competence of the STEM Education center – SERC at University of Bergen, will
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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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research stays abroad . Qualification requirements Master's degree in Robotics, Cybernetics, Artificial Intelligence, Computer Science, Electrical Engineering, Aerospace Engineering, Engineering Physics
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obscured. The historical approach should be specific and grounded in identifiable sources and sites. The call is open regarding period and geography. Projects focused on computing, remote sensing, databases