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offers an exciting opportunity to collaborate with NTEC’s internationally recognised academic team on various projects focused on the development, design, and modeling of future paving materials
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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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thorough understanding of developing and implementing effective communications and engagement activities to diverse audiences? If so, the University of Nottingham has a fantastic opportunity for you to join
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at the tumour margin represent a key target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing
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Airbus’ ZEROe concepts. However, liquid hydrogen fuel systems remain largely unstudied and critical fundamental research and modelling capability needs to be developed to strengthen the necessary
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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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research building on previous research from the Silvi research group. The research will focus on the development of novel reactions based on photoredox-radical chemistry. The new radical processes will be
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the noise associated with near-term quantum devices. This in turn offers an exciting new dataset from which it will be possible to use machine learning to train a more accurate functional for use in density
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salts and ionic liquid by collaborating with a growing research team while conducting their own investigations. The role holder will have the opportunity to contribute to the development of funding