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minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project is our standard entry, however we place value on prior experience, enthusiasm for research, and the
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
for automated, data-driven diagnostics, integrating AI with high-resolution imaging and sensing offers a transformative solution. AI models can learn to recognize subtle damage patterns, enabling faster, more
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, immunostaining and image analysis; measurement of soluble mediators using muliplex ELISA; isolation of cells from tissue and blood, cell culture and ex-vivo assays; metabolic profiling including SCENITH assay and
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King's College London Department of Engineering | London, England | United Kingdom | about 1 month ago
Profile First Stage Researcher (R1) Positions PhD Positions Country United Kingdom Application Deadline 7 Dec 2025 - 17:00 (Europe/London) Type of Contract Temporary Job Status Full-time Is the job funded
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speed - Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
Large language models (LLMs) can read and write text and code, call tools, and follow instructions. They now allow us to build agents that plan and act over many steps instead of giving a single
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26 Nov 2025 Job Information Organisation/Company Swansea University Department Central Research Field Mathematics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
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17 Nov 2025 Job Information Organisation/Company Swansea University Department Central Research Field Medical sciences » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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Revolutionising Infection Diagnosis Through Targeted Radiometal Imaging Background of the Project: People with conditions like heart disease, diabetes, cancer, organ transplants
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on health Physics-informed image registration approaches to infer injury mechanisms from longitudinal image data. Experimental characterization of the mechanical properties and damage behaviour in soft