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manufacture, to enable quantitative imaging. Your research will include a mix of computational and experimental work to develop and characterise these instruments. Monte Carlo simulations (using GEANT4) will
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funded PhD position is available to evaluate variation in spinal treatments using engineering methods. Specifically, the project will develop and validate novel computational testing methods to evaluate
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imaging technology. This inconsistency makes it difficult to compare scans over time or between institutions. Research Problem: The main challenge this project aims to address is the inconsistency in PET
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sensors to understand their local surroundings at sea and inform optimal action. To ensure safety requires the ability to reliably detect, image and recognise their environment, in terms of surrounding sea
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(including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine learning techniques and experience with coding in Python is beneficial (but not a strong requirement) Applicants whose
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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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with 65% average), or international equivalent, in Engineering, Computer Science, Physics or Mathematics with evidence of programming experience. Applications should be made through the RAINZ CDT website
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, Electronic Engineering, Computer Science, Natural Sciences, although we are open to any enthusiastic applicant with a science-related background.
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Project advert We are looking for a PhD candidate with a background in human physiology or biomedical engineering/computer science to develop new ways to measure healthy ageing from genetic and
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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