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point of this project is the opportunity for the successful applicant to work within the Centre for Computational Engineering Sciences, a leading hub for research and education in computational methods
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This project aims to develop a digital twin of the human stomach that integrates first-principles mathematical modelling with machine learning. The model will simulate the complex mechanics
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the Department of Engineering). This project will investigate the convergence of Edge AI and Neuromorphic Computing to enable adaptive, low-power robotic systems. Supervision Team: Background and Motivation: As
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for thin coated membranes. As part of a team, you will develop mathematical and computational models, as well as lead the experimental work. You will work closely with our industrial partner. You will also
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with a first class or upper second-class degree in engineering, physics, applied mathematics or a related field. A solid foundation in fluid dynamics and heat transfer, and experience with computer
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. limited research consumables, travel budget, and training when appropriate). Social and Applied Sciences Fully Funded PhD Research Studentship Project Title: Trauma and Technology: Identifying Best Practice
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Qualification type: PhD Location: University of Hull Funding for: UK students Funding amount: £20,780 Hours: Full time Closes: 9 May 2025 Subject areas Engineering & Technology Computer Sciences Mathematics
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, Engineering, Computer Science). A Masters (at Merit or Distinction level) is desirable but not essential. You should be able to demonstrate knowledge of the fundamental principles of fluid dynamics, e.g
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an interest in data science, computational chemistry or related areas. A degree in Chemical Engineering, Chemistry, Computer Science, Mathematics or other engineering/science disciplines with significant
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, engineering, mathematics, or related subject) Proficiency in English (both oral and written) Essential to have strong foundations in computer systems through degree courses or equivalent work experience