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Missions Fund (TMF), CHEDDAR explores how communications systems can underpin next generation computing and how cloud systems and AI can bolster communications, as well as working in sensing and
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develop and apply machine learning techniques to accelerate simulations and extract insights from complex model outputs. A PhD in (or equivalent experience) in Biomedical Engineering, Computer Science, Data
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of PhD students on this project, collaborating with other partners in the ARIA programme, assisting with the delivery of project milestones, and managing the project’s codebase. We expect novel algorithms
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. While the role is primarily computational, you will be expected to engage with core chemical engineering concepts and collaborate closely with industrial partners, including BASF and Siemens. You will
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The Robot Learning Lab in the Department of Computing at Imperial College London is seeking a talented Research Assistant (pre-doc) for an ambitious new project on dexterous robot learning. In
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, applying and validating your algorithms through laboratory experiments. A PhD in Chemistry, Biology, Computer Science, or related fields with a focus on protein engineering. Proficiency in Python programming
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areas, and be able to creatively combine disciplines to make new research advances in fluid mechanics. You will be creating data-driven algorithms which can solve state estimation problems in fluid
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Intelligence for Humanity. Research – As a part of the Dyson School of Design Engineering, you will actively develop and lead your own research programme, in line with our research themes and vision. You will be
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the Initiative’s Director, Professor Alison Holmes and the Executive Chair the Lord Ara Darzi, to deliver all aspects of this ambitious programme. This will include; overseeing the delivery of the purpose-built
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Project Manager to lead this transformation, overseeing a programme with an initial capital investment of £3 million in 2025/26 and a total estimated value of £12 million over five years. In this role, you