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necessary or desired background A first class or an upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline. Subject Area Medical imaging, computer science & IT, AI
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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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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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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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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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. Candidates must have a strong motivation for research and excellent programming skills. Expertise of developing computer vision and machine learning algorithms would be desirable, with an interest in image
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engineering or computer science, or related fields. The research will involve testing physical performance of volunteers, processing blood samples and genetic assessments, collecting and analysing magnetic
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PhD Studentship: Optimisation of Liquid Metal Filtration and Cleanliness in Nickel Based Superalloys
-supervision by Dr Mark Hardy. The industry aligned EPSRC DigitalMetal CDT offers a four year training programme on integrating data driven with physics-based models of products equipping students with
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the cerebral cortex. fUS ultrasound waves are similar to CUS but using novel image reconstruction techniques and parallel computing technologies reaching 10,000 frames per second, enables very sensitive mapping