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Field
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The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from Home students for fully-funded PhD studentships to carry out multidisciplinary research in the world-transforming
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to Apply: Apply online via the above ‘Apply’ button. Under programme name, select ‘Mechanical and Manufacturing Engineering’ and quote the advert reference number ‘PARAFIT-TS-25’ under the ‘Finance’ section
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a student with a background in Mathematics, Computer Science, or a related STEM discipline who is passionate about computer graphics and gaming. A prior interest or experience in ML/AI rendering
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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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PhD Studentship: Revolutionising Litz Wire Development for Next Generation Ultra-High Speed Propulsion Motors The Manufacturing Technology Centre UK, and University of Nottingham This project offers
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. This cohort of students will investigate aspects of EAF steelmaking and product development using the latest suite of characterisation equipment, processing lines and digital tools, aided by
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to maximize this impact throughout the PhD programme. Given a focus on body weight and strategies to reduce this, with consideration for sustainability and current consumer preferences for naturalness
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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
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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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collection of evidence of impact through communication activities, feature-limited software releases and efforts to inform policy. Candidates for this PhD should have a strong foundation in computer science