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developments in probabilistic numerics- where uncertainty in numerical computation is explicitly represented and quantified-offer a promising new perspective for addressing inverse problems in complex
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treatment plants where methane is emitted and governed in practice. The project will principally make use of qualitative methods, especially documentary analysis, interviews and observations. Within
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, journal clubs and training opportunities it runs.
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Research Office Location: Newport, Shropshire TF10 8NB Post Type: Full Time Closing Date: Open until filled Reference: 20252026-RRH This form is only to be used by those self-funded applicants
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(a.mcdowall@bbk.ac.uk) who will answer informal queries. The closing date for applications is Tuesday 7th April 2026 at 23.59 UK time; late applications cannot be considered. Applications will be reviewed by
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Research Assistant/Marie Skłodowska-Curie Actions (MSCA) Doctoral Network PhD Studentship, Commencing October 2026 (3 years) The Centre for Cancer Genetic Epidemiology (CCGE) is recruiting a
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Materials, mastering scientific machine learning, uncertainty quantification, and high-performance computing. Your models will inform fusion design and advance AI-for-materials. Perfect for physics, maths
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) at the Rutherford Appleton Laboratory (RAL) in Didcot. This is an exceptional opportunity to work at the interface of artificial intelligence, computational imaging, and life sciences, supported by the Ada Lovelace
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to enable on-demand medicines manufacture that is highly cost-efficient and sustainable . This unique approach synergistically combines the strengths of flow synthesis , biocatalysis and 3D printing
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Electrophysical remanufacturing of aerospace gas turbine components for performance restoration and critical material safeguarding This exciting opportunity is based within the Advanced