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) is an essential enabling technology for the Net Zero transition in the UK’s energy sector. However, significant technological and cultural barriers are limiting its effectiveness. Overcoming
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in overall verification is crucial when assuring correctness. About the RAINZ CDT The EPSRC Centre for Doctoral Training in Robotics and Artificial Intelligence for Net Zero is a partnership between
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Autonomous Systems (RAS) is an essential enabling technology for the Net Zero transition in the UK’s energy sector. However, significant technological and cultural barriers are limiting its effectiveness
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environment. Students will benefit from: dedicated cohort training and skills development networking and collaboration opportunities access to cutting edge facilities within the Henry Royce Institute, the UK’s
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chemistry, modelling, and scientific coding, and who are keen to develop these skills while contributing tools that advance the field and support clean growth and Net Zero technologies. Applicants should have
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and optimisation of subsurface energy storage technologies supporting Net Zero goals. This opportunity is primarily aimed at self-funded students. Exceptionally strong candidates with a proven track
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Department: Mathematics Title: Multiscale modelling of polymer network constitutive behaviour Application deadline: All year round Research theme: Applied Mathematics How to apply: Click the 'Apply
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that are directly relevant to network operators, policymakers, and technology providers working toward a low-carbon energy future. We warmly welcome applications from candidates of all backgrounds and identities
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. This project will contribute to clean growth and Net Zero technologies by unlocking sustainable biosynthetic routes and replacing toxic redox reagents with electrons derived from potentially renewable
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into useful chemical products is at the heart of the Net Zero transition. In liquid-phase heterogeneous systems, controlling which product forms and understanding why it forms remain one of the field's most