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PhD project: Modelling Resilience of Water Distribution Networks Supervised by Rasa Remenyte-Prescott (Faculty of Engineering) Aim: To develop an modelling approach for assessing water network
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
of next generation agentic AI systems. In this PhD programme, you will redefine how the world works, learns, and discovers, turning bold ideas into tools used by millions. You will then become one
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for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
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The Oliver Gatty PhD Studentship for full-time study and research training in the fields of Biophysical and Colloid Science is open to graduates in the broad area of biophysics. The Studentship is
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application. Entry Requirements Acceptable first degree - Mathematics. 1st class BSc or 2:1 Masters or equivalent. Start Date: 1 October 2026 Additional Funding Information This PhD project is in a competition
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cankers in AOD. Project Aims: To address this hypothesis, the PhD will explore the interplay between sulphur metabolism and microbiome dynamics in oak (Quercus robur) through the following objectives: 1
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the online application form for a full-time PhD (or download the PGR application form ) in the Department of Life Sciences. Please include your CV and a cover letter addressing the project’s aims and
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For 2026 entry, LSE will be awarding fully funded PhD Studentships . The studentships will be awarded across the School, providing full fees plus an annual stipend. They will be awarded on the basis
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This fully-funded PhD studentship, sponsored by the EPSRC Doctoral Landscape Awards (DLA), Cranfield University and Spirent Communications, offers a bursary of £24,000 per annum, covering full
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overuse injuries. Wearable sensors to quantify of the impact and benefit of sleep on the recovery, performance and overall wellbeing of athletes. Using big data and machine learning methods to identify