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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience
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, machine learning, and information-theoretic approaches to achieve robust, non-intrusive security for the ever-expanding IoT landscape. Feature Engineering for Encrypted Traffic: It is crucial to identify
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tissue stiffens and pores close, intraocular pressure rises, ultimately damaging the optic nerve. While current treatments aim to manage this pressure, they come with significant side effects and do not
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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entrants without historical data for their land use technology differently compared to those with established practices? This interdisciplinary project offers the chance to contribute to multiple fields
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environmental terms, this multiply-colonised and repeatedly-engineered city is built in a wetland without a significant natural harbour; In social terms, in a heavily nationalised state, the city has resisted
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environmental terms, this multiply-colonised and repeatedly-engineered city is built in a wetland without a significant natural harbour; 2) In social terms, in a heavily nationalised state, the city has resisted
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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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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-and-chemotherapies Funding Comment This scholarship covers a student stipend funded at current UKRI level (+3% inflation each year) as follows: Year 1 = £19,814 Year 2 = £20,409 Year 3 = £21,210