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Field
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point of this project is the opportunity for the successful applicant to work within the Centre for Computational Engineering Sciences, a leading hub for research and education in computational methods
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the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed
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constraints. This studentship is associated with the Healthy Low Carbon Transport Hub, a large multi-disciplinary research programme on the health co-benefits of low-carbon transport interventions led by
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degree in statistics, computer science, data science or computational biology. Ideally, the applicant would have a background in both biology/biomedical sciences and statistics/data science. Applicants
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Zhongping.Que@brunel.ac.uk for an informal discussion about the project. Eligibility Applicants will have or be expected to receive a minimum 2:1 or 1st class degree in Materials Engineering, or a related
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Advert title: A randomised controlled trial into the effectiveness of the behavioural change and weight reduction programme via the Slimpod app: brain and psychological adaptations Project advert An
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the effectiveness of an audio/visual online coaching programme that leverages digital health technologies as part of a novel intervention that can be easily accessed by a wide audience. This will be compared with
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undertake ground-breaking research in the fields of impact engineering, shock- physics, and materials science, involving elements of both experimental and computational physics. You will be based at Begbroke
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for sustainable aerospace applications. By leveraging non-equilibrium reactive plasmas, PAC can modify flame chemistry, reduce emissions, and enable the use of alternative fuels in propulsion systems
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suitable for a hard-working researcher with an interest in respiratory infections. Essential skills: A BSc degree or equivalent ideally in a health related field, excellent computer literacy, good inter