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Reproduction will couple satellite-derived ocean temperature data, microclimate forecasts of nesting beaches with behavioural and physiological models derived from biological first principles. This dynamic model
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. The project provides a chance to shape deployable AI for smarter, more efficient energy use, working from first principles all the way to real-world impact. Please direct project specific enquiries to: Zhou
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level determined by the UKRI, currently £20,780 for the academic year 2025/26. Specific requirements of the candidate A first-class or upper second-class degree (or equivalent) and a Master’s degree in
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for an in-person interview at Campion Hall on 3 March 2026. Start date: October 2026 (Oxford Michaelmas Term) Queries: Questions about the LSRI Ecotheology Scholarship should be addressed to: For questions
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they replicate the responses seen in people. 3D bioprinting techniques are an exciting set of fabrication technologies which build on the principles of 3D printing, but which can process cells and other biological
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set of fabrication technologies which build on the principles of 3D printing, but which can process cells and other biological materials. When used in conjunction with other biofabrication techniques
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the design and validation of Cognitive Network LLM, a novel and principled framework for efficiently adapting a single foundation LLM into a collaborative multi-agent system for the networking domain
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: Machine Learning Molecular Dynamics. The project involves the development and application of machine learning methods that enable a major boost of the time and length scales accessible to ab-initio/first
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Survey 4th Supervisor: Professor Odipo Osano, University of Eldoret Applications are invited for a 3.5 years PhD studentship. The studentship will start on 01 October 2026 Project Description Background
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project will focus on the advancement of mechanical and thermal engineering principles underlying two-phase dielectric oil boiling immersion cooling for lithium-ion batteries. The candidate will develop CFD