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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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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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of disciplines and collaborations with users where appropriate. Studentships will be awarded to outstanding applicants, the distribution will be overseen by the University’s EPSRC Strategy Group in partnership
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: For questions about the project: Dr Ajit Panesar For queries regarding the application process, email Lisa Kelly, PhD Administrator. Equality, Diversity and Inclusion:Imperial is committed to equality and
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monitoring through considering a wider area of the floodplain. Repeated detailed topographical surveys using a differential Global Positioning System (dGPS) will be used to quantify changes in geomorphology
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lost productivity. The popularity of domestic wood stoves is increasing rapidly, with an estimated 150,000–200,000 units sold in 2022 alone. While manufacturers often market these stoves as “clean” and
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Application Deadline: Applications accepted all year round How to apply: https://uom.link/pgr-apply-2526 UK Only This 3.5-year PhD studentship is open to Home (UK) applicants. The successful
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and industrial partners, you will deliver models and tools that enhance the stability and reliability of future low-inertia power systems. What we are looking for You must have a PhD in Electrical
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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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deliver models and tools that enhance the stability and reliability of future low-inertia power systems. You must have a PhD in Electrical Engineering, Control Engineering, Physics or Mathematics