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for process improvement to deliver efficiencies in pursuit of a scalable operating model which underpins support for PGR activities and enhances both the student and staff experience. This will include
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to work within the Project team in order to: - Evaluate potential systems solutions from a business perspective - Review processes to ensure they are fit for purpose and refine processes to ensure they meet
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PhD: 3-4 years full-time; 6-8 years part-time; Thesis of Max 80,000 words Apply now Research projects Research projects Self-funded projects Indicative Data Science: Extracting 3D Models of Cities
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of meteoritics. This will allow us to provide predictions on the internal compositions and lithological diversity of meteoroids prior to atmospheric entry and test current models of asteroid evolution and the
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Bayesian approach (Lages, 2024). Techniques used: Computational modelling, Bayesian inference, sampling and simulation techniques, prior distributions and posterior predictive checks, model comparison
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to students. * Provide feedback on students’ formative e-portfolios 4. To foster the welfare of students: Act as a professional role model and mentor for students. Liaise with Advisors of Studies and the VS
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. A5 Knowledge of technical models, equipment and metrological techniques as they apply to sustainable electronics. Skills Essential: C1 Demonstrable skill in experimental electronics, including
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Councils' centre for copyright and new business models in the creative economy. These projects and the researchers working on them all contribute to the research culture and interact with PG students through