604 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" PhD scholarships in United Kingdom
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climate change-resilient infrastructure slopes. This PhD project will explore the potential role of automation in the construction and/or maintenance of earthworks, with the goal of developing a system-of
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develop advanced skills in qualitative research, stakeholder engagement, and knowledge exchange, alongside being supported to publish in leading journals and present at conferences. You will also benefit
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early detection and predict adverse pregnancy outcomes. You will develop and validate a data-driven clinical decision support tool in collaboration with clinicians and industry partners. Pre-eclampsia is
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knowledge. A tailored programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of
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the noise associated with near-term quantum devices. This in turn offers an exciting new dataset from which it will be possible to use machine learning to train a more accurate functional for use in density
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. This PhD project aims to develop efficient, reasoning-enhanced Vision–Language Models tailored to multimodal medical data. The main aim is to investigate how explicit clinical reasoning can be embedded
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Turbulence detection in blood flow using 4D MRI Flow disturbances in blood flow are vital sign of cardiovascular diseases, suggesting a development of turbulent flow due to abnormal heart movement
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a groundbreaking £6 million EPSRC Programme Grant to reduce the soaring energy demands of artificial intelligence . The computational team will work in collaboration with many partners in academia and
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environment. Understanding the factors related to effective silencing is key for the development of novel controls. In collaboration with CRODA, JIC have developed RNA based product testing systems. Using our
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digital twins with quantified uncertainty. This project will develop a measurement-science-driven digital twin framework for energy assets, initially demonstrated on PV modules/fields and battery systems