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the field, from tissue scaffold design in tissue engineering evaluation to surgery. The student will focus on establishing best practice for widespread applicability, building on past skin, heart, lung, brain
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Research theme: Formal Methods How many positions: 1 This 3.5 year PhD is funded by the Department of Computer Science at The University of Manchester. The successful candidate will receive
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degree or a master’s (or international equivalent) in a relevant science, mathematics or engineering related discipline. Excellence in computational science and mathematics Programming skills in any
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strong academic foundation in a discipline relevant to the subject – e.g., Computer Science, AI, Data Science, Psychology, Social Science and Technology, Design. Are ready to engage in a dynamic, four-year
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is, in general, a challenging problem and one for which there is relatively little data, because experimental chemistry takes time and is expensive. Within our research group, we have a highly
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from the Defence Science and Technology Laboratory (Dstl). Award value The Studentship covers: Stipend: at UKRI rate + London Weighting (£22,780 for 2025/26 academic year) Tuition fees: UK Home Fees for
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is, in general, a challenging problem and one for which there is relatively little data, because experimental chemistry takes time and is expensive. Within our research group, we have a highly
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This large-scale ecological project investigates the barriers and drivers of post-fire forest recovery. With climate change and the spread of forest fires to new areas, it is important to investigate the conditions that support forest recovery after a fire. The study areas can be defined using...
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supervisor: Dr Alessandro Zocco Entry requirements Essential Educated with an undergraduate honours’ degree (or equivalent qualification) in Computer Science/Engineering or in a relevant subject
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Natural Language Processing (NLP) in the areas of culturally aware NLP or multilingual conversational NLP, and integration of such methods to support language technology in multiple languages