54 evolution "https:" "https:" "https:" "https:" "https:" "https:" "ISCTE IUL" PhD positions at University of Nottingham
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Turbulence detection in blood flow using 4D MRI Flow disturbances in blood flow are vital sign of cardiovascular diseases, suggesting a development of turbulent flow due to abnormal heart movement
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engineering, structural, aerodynamic & manufacturing process modelling and optimisation techniques that will transform current design & development practices. Together we will make technological advances
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chemistry, flavour analysis, rheology, sensory science, and data-driven modelling, alongside structured development in responsible AI use, industry-relevant decision making, and translational research
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functional theory. In collaboration with Phasecraft, a leading quantum algorithms company, this project will explore the generation of new quantum computing datasets and the development of machine learning
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one of the world’s leading centres for additive manufacturing research and development, invites applications for a fully funded PhD programme. Metal additive manufacturing is transforming how complex
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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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efficiency, consistency and patient outcomes; they also introduce new cognitive demands, risks, and accountability challenges. This project aims to contribute to the development of human-centred, safe, and
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metabolomics and novel physiological MRI technique development within a translational research environment bridging analytical bioscience and neuro-oncology. Research Environment The successful applicant for a 4
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coupling. This PhD project focuses on the development of next-generation high power density EMS, to unlock a more compact and efficient energy ecosystem, where EVs do not just consume power, they help drive
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functional theory. In collaboration with Phasecraft, a leading quantum algorithms company, this project will explore the generation of new quantum computing datasets and the development of machine learning