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PhD in Computer Science: Sustainable AI for Plant Species Recognition in Tropical Forests School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Jefersson Alex dos
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device. The project would be ideally suited for someone with a strong chemistry or closely related background and an interest and in analytical and biological chemistry. Supervisor:Dr Nota Zarmpi Entry
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approaches, including principal component analysis and machine learning, to handle multivariate datasets. Prior experience in data science is not essential; the successful candidate will be supported through
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+ Clinical Lecturer for a preparatory ‘run-in’ period of up to 12 months before beginning the 3-year PhD project, when clinical training (80%) is combined with protected research time (20%) for selecting
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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for Home Fees Status students. Contact The project will be supervised by Professor John Marsden, in collaboration with the Department of Health and Social Care. To express interest, please send a short
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-disciplinary project aims to investigate the impact of CF on peripheral and cerebral vasomotor function and determine associations with blood markers of inflammation/oxidative stress and with clinical care
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project, demonstrating their potential in thermal management and protection for battery technologies. This PhD project, building on Dr Fanicchia’s extensive expertise in coating design and thermal
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research, teaching & administration, which means: You will participate in research projects and scientific studies in the field of Business and Transportation Analytics (e.g., innovative attended home
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Hours: Full time (with possibility of less than full time upon agreement with Programme Director and funder) Contract: Fixed-term for 3 years Location: Liverpool/Remote/Overseas (Global South) Fully