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for complex systems design for many years. Still, many companies struggle to implement it. They tend to rely on paper based systems engineering, where visual diagrams combined with interaction between engineers
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any skills essential to the successful completion of the project, and we offer him/her/them the opportunity to obtain additional skills related to interdisciplinary language science research more
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to the project are: PhD Student Position in Generative AI RAM³ is a WASP-WISE NEST project This recruitment is connected to the Wallenberg Initiative Materials Science for Sustainability . WISE, funded by the Knut
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bioinformatician with a PhD or equivalent experience to join our dynamic research team at the Life Arc Centre for Rare Mitochondrial Diseases https://www.lifearc.org/project/lifearc-translational-centres-for-rare
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factors need to be considered when analysing the state of obsolescence for a system. Proposed project This project proposes to develop an obsolescence modelling framework for asset management of railway
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with Professors Serena Best and Ruth Cameron at the Cambridge Centre for Medical Materials in the Department of Materials Science and Metallurgy. The SHIELD Doctoral Network offers an exciting
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embedded in the cross-disciplinary TRDA project Entangled Lewy. The project brings together Health Sciences, Engineering, Computer Science, Health Economics, Arts, Humanities and Social Sciences to develop
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Economics and Technology Management – Section Managerial Economics, Finance and Operation Research. The position is resident at NTNUs campus in Trondheim. This is an educational position, which will provide
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of interventions designed to meet the development needs of coaches. The project will be led by Professor Andy Smith, Director of the Centre for Mental Health, Sport and Physical Activity Research and Head of
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and Business Economics, Political Science, Public Administration, Human Geography, Spatial Planning, and Environment. Our approach to teaching and research is evolving from multidisciplinarity, where we