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are offering an exciting and ambitious PhD research opportunity to explore different molecules/targets to develop infection-specific radiotracers and navigating their clinical translation. Depending
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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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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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are offering an exciting and ambitious PhD research opportunity to explore different molecules/targets to develop infection-specific radiotracers and navigating their clinical translation. Depending
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Application deadline: 28/11/2025 Research theme: Soft Matter and Biophysics How to apply: https://uom.link/pgr-apply-2425 This 3.5-year PhD is fully funded and open to applications from home
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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
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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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multimodal data, ultimately uniting rigorous machine learning foundations with biological discovery. Project details This PhD project will contribute to the development of generative models for multimodal data