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-making process. Research Objectives Model Learning in Dynamic Contexts Investigate the use of reinforcement learning for constructing and updating probabilistic world models (transition and observation
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October 2026 Award Duration 4 years Application Closing Date 16th January 2026 Sponsor EPSRC Supervisors Dr Chris Bruce Eligibility Criteria We are adopting a contextual admissions process. This means we
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combination of experimental work, rig development, and computational modelling, and will equip the student with a unique skill set highly relevant to both academic research and industrial careers such as
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Computational background: engineering, physics, maths, or computer science. How to apply: Stage 1: Submit your 2-page curriculum vitae (CV), transcripts and a 300-word statement explaining your motivation
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of Computer Science and Engineering) & Dr. Ellie Jameson (School of Natural Sciences) Requirements: Applicants should hold at least a 2:1 degree (or equivalent) in engineering, physics, chemistry, materials science
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& Physical Sciences Research Council (EPSRC) to start in January 2026. The studentship includes a tuition fee waiver and an annual stipend set at £20,789 for 2025-26. The duration of the studentship is 3.5
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. Candidate Requirements A strong academic background in Engineering, Mathematics, Physics, Architecture or Computer Science. An undergraduate degree with at least 2.1 in one of the above subjects is essential
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Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How to apply Please read and complete this document as your Personal statement, and upload
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to develop the new processes, process technologies and green chemistries required for the process industries’ transition to Net Zero. This PhD will focus on scaling up and optimising MEC technology for real
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King's College London Department of Engineering | London, England | United Kingdom | about 1 month ago
science interlink prevention and prediction of wildfire risk, by contributing to the development of a fundamental physical model to understand the process of fire spread for wildfires, as part of a European