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the development of numerical methods for astorphysical fluid dynamics and radiation transport. Projects may employ a range of approaches from analytic modelling and numerical calculations on desktop
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digitisation. To achieve our goals, we rely on our specific research, development and technology competencies, which are the basis of our commitment to excellence in all areas. With our open culture
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(Learning, Educational Achievement, and Life Course Development) to design and conduct studies. What We Expect from You We are looking for a candidate with a strong academic background and a keen interest in
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). The AI DTC is an initiative by the University of Nottingham to develop future researchers and leaders who can address key challenges of the 21st century through foundational and applied AI research
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domestic and international candidates for a fully funded PhD position in Civil Engineering focused on: Development of ultra-low carbon concrete systems Integration of biochar derived from organic waste
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placement within Siemens Digital Industry Software. Project Overview The project focuses on developing and integrating ML techniques to enhance wall treatments for under-resolved boundary layers in
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simulation, composites manufacturing and advanced sensing techniques. The project will provide opportunities to develop skills in these areas and contribute to the development of the next generation composite
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influences that define and shape their early careers and practice, including the impact of different learning and professional development phases. Further information on the study is available at the TPJ
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preserve, access and develop knowledge over time with the support of automated reasoning. Different KRLs and tools were developed that make it possible to build semantic representations that can simplify
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undertaking study in: Accounting and Finance Anthropology, Media and Performance Arab World Studies Architecture Business and Management Chinese Studies Criminology Development Policy and Management Digital