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in recruitment. We will interview for the role on the 4th of August 2025. We encourage applicants from backgrounds traditionally marginalised and/or under-represented in the field. Further, please do
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. The developed technology will be rooted in causal reasoning, and we envision leveraging causal generative AI methods to develop a rigorous and comprehensive AI testbed. Clinical applications include, but are not
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Modulo Theories) solver. The work aims to demonstrate methodology through the application of the prototype to a real-world industrial system (provided by our industrial partner - Evolution Measurement
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funded for UK nationals Stipend of £25,222 (tax-free) per year for four years Tuition fees covered in full Project open to UK nationals only Candidate Requirements We welcome applicants with a First or
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are <1.5 hr train journey from London and near international airports linking you to the world. Applicants should have a PhD or equivalent professional qualification and experience in microbiology
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experience in this clinical field is not essential. We welcome applications from early career researchers with relevant expertise in a wide range of quantitative or qualitative methods (e.g. epidemiology
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, and those working on other real-world applications.
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development would be advantageous. Eligibility and Application The position is open for both UK home and international candidates. PhD Start date: 1 October 2025 Application deadline: 10 June 2025 For further
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of Engineering which conducts cutting edge research using the Digital Twin Technology to accelerate electric propulsion system development. Applications are invited for the above research studentship to join the
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Control Research Institute at Faculty of Engineering which conducts cutting edge research using the Digital Twin Technology to accelerate electric propulsion system development. Applications are invited