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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Employment as PhD Fellow is regulated in Regulations
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» Industrial engineering Engineering » Systems engineering Computer science » Digital systems Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 31 Jan
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University of Stavanger invites applications for a PhD Fellowship in urban morphology, accessibility and mobility cultures at the Faculty of Science and Technology, Department of Safety, Economics and Planning
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. The successful candidate should have extensive relevant industry experience and/or at least a PhD degree in Electrical & Electronic Engineering (with analog integrated circuit design background) and a passion for
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International Graduate Program (TIGP) and hosts the Molecular Science and Technology Program (TIGP-MST) for international graduate students (https://tigp.iams.sinica.edu.tw/ ). We look forward to your
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particularly suitable for a PhD education. You must meet the requirements for admission to the NTNU Faculty of Social and Educational Studies' Doctoral Programme (https://www.ntnu.edu/su/phd ) Experience in
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PHD DEVELOPMENT AND EXPERIMENTAL VALIDATION OF UNDERGROUND SAND-BASED THERMAL ENERGY STORAGE SYSTEMS
publications and enjoy application-oriented research questions from industry Very good command of English (spoken and written) Details: Duration of the PhD project: 3 years Start date: ideally 01.04.2026 To
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and textual conditions Primary experiments will be conducted in CARLA (https://carla.org), enabling controlled and repeatable evaluation of hallucinations under diverse driving conditions. The PhD
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LevelPhD or equivalent Skills/Qualifications PhD Specific Requirements ACADEMIC BACKGROUND. Particular emphasis will be placed on solid training in multi-agent control theory, including mathematical tools