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As a hybrid cloud engineering you will enable academic endeavours by delivering high-level professional expertise and carrying out sophisticated techniques. Interpret, evaluate and present data
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need to contact the project supervisor to discuss. Online applications are made via the 'Apply' button above. Please select Engineering Mathematics* on the Programme Choice page. You will be prompted
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computational methods to optimise the quality of doubly curved shell structures manufactured from recycled, short-fibre composites. A particular novelty of the research will be the inclusion stochastic elements
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in AI and machine learning for ensuring stability in financial markets and investments. The role is based at University of Bristol, School of Engineering Mathematics and Technology, and will involve
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(1.0 FTE) Undergraduate Administrator to support the student administration team with the BVSc Veterinary Science Programme in the School. Providing administrative support for undergraduate teaching and
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are safe, compliant, cost-effective, and aligned with University standards and strategic goals. Identifying and resolving risks and issues that affect scope, programme or quality. Overseeing remedial works
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implement lab based activities to support this. Additionally the role will support other educational provision in the Mechanical Engineering undergraduate programme within the school. The successful applicant
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university level in subjects relevant to the Engineering Mathematics teaching portfolio. You should have a good honours degree and have (or expect to have soon) a PhD in Mathematics, Computer Science, Physics
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coding languages Knowledge of evolutionary biology, palaeobiology, evolutionary morphology Academic research publication track record compatible with career stage Desirable Experience in computational
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biodiversity management. You have a PhD (or near completion) in quantitative ecology, conservation biology, or a related field. You are skilled in statistical modelling, particularly Bayesian and spatio-temporal