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et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene
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transition that not only enhances the productivity of engineering teams but also expands the complexity of solvable design problems. We have two exciting PhD positions at the intersection of formal software
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the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant
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are particularly suitable for a PhD education. You must meet the requirements for admission to the doctoral program from the Faculty of Engineering (https://www.ntnu.edu/studies/phiv ) You must be
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Engineering » Electrical engineering Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 29 Mar 2026 - 23:59 (Europe/Oslo) Country Norway Type of
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engineeringEducation LevelBachelor Degree or equivalent Skills/Qualifications Admission Requirements MSc in Civil Engineering. To be enrolled at a PhD in Civil Engineering. Proven experience in BIM, software development
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Intelligence for Complex Systems, the National Engineering & Technology Research Center for ASIC, and the Laboratory of Brain Atlas and Brain-inspired Intelligence. It has also jointly established several
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statement when you apply. Criteria Essential or desirable Stage(s) assessed at Hold or be close to completing a PhD in neural engineering, neuroscience, biomedical engineering, computational modelling or a
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of Neuromedicine and Movement Science (INB) at the Norwegian University of Science and Technology (NTNU) invites applications for a 3-year full-time (100%) PhD position. The successful candidate will be part of
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experience teaching these practices to undergraduates in a liberal arts setting. We invite candidates with or working towards a PhD or DMA in Composition, Music Technology, or a related field, with preference