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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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-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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& 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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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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. 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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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
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a first or upper second (2.1) class Master's degree (or equivalent) in chemistry, physics, materials science, computer science or other related discipline. Candidates with strong BSc (Hons) degrees in
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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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undergraduate honours degree in Engineering, Mathematics, Computer Science or Physics Excellent English written and spoken communication skills The following skills are desirable but not essential: Background in