178 computer-engineering-"https:" "https:" "https:" "https:" "https:" "https:" positions in Norway
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research program Complete a PhD thesis and associated coursework within the 3-year fellowship period Please refer to our latest publications, which highlight our work. • https://www.nature.com/articles
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Is the Job related to staff position within a Research Infrastructure? No Offer Description The Hybrid Technology Hub CoE (https://www.med.uio.no/hth/english/ ) is inviting applications for a three
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-computer interaction, information systems, sociology, psychology, management, organisational behaviour, human resource management, law and technology, science and technology studies, political science, or
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are not limited to, communication, media studies, human-computer interaction, information systems, sociology, psychology, management, organisational behaviour, human resource management, law and technology
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interdisciplinary research at the interface of engineering, mathematics, and medicine. Applicants should hold a Master's degree (or equivalent) in Cybernetics, Electrical Engineering, Informatics, Physics
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Science: Software Engineering, Sensor Networks and Engineering Computing and the HVL Software Engineering Group (https://www.hvl.no/forsking/gruppe/programvareutvikling-software-engineering/). The research programme
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. The Department of Computer Science is one of seven departments in the Faculty of Information Technology and Electrical Engineering . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/308255
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to the faculty’s doctoral programme in PhD in Technology within three months of starting in the position. The doctoral programme includes relevant courses corresponding to approximately six months of study, a thesis
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Doctoral Programme in Engineering, see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree in civil engineering, structural engineering, mechanical engineering
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instrumentation, physical modelling, sensor technology, or experimental validation is advantageous. Experience with three-dimensional modelling, computer-aided design (CAD), or additive manufacturing (3D printing