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: Expertise in digital innovation and technology, with substantial experience in enterprise, programme, or project management across higher education or industry. A proven track record in developing and
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& Technology Department to start from Spring 2026 semester. Job Requirements A Master’s Degree in Computer Science/Information Systems with a thesis track from an internationally accredited university
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-Recruitment programme at http://jobs.harper-adams.ac.uk submitting your CV and a personal statement outlining your suitability for the role. Your personal statement should clearly demonstrate how your skills
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external funding to develop and sustain an independent research programme, as well as to form links within the Department of Engineering Science, with other departments across the University of Oxford, and
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candidates to apply in areas including, but not limited to the following: Applied and Computational Mathematics Scientific computing Probability, Stochastic Processes and Statistics Outstanding candidates in
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application for this project at http://www.bris.ac.uk/pg-howtoapply . Please select
on the Programme Choice page. You will be prompted to enter details -
at the interface of Fintech and AI, and in areas related to computational finance and financial engineering, for example: AI for finance, automated trading, agent-based modelling of financial systems, blockchain
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that the project is withiin the Fusion Engineering CDT and apply though this link https://www.bristol.ac.uk/study/postgraduate/apply/ Funding notes This project is part-funded by a Community Studentship provided by
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research will help bridge the gap between theoretical numerical predictions and practical, safe engineering design, ultimately ensuring the reliability and stability of these foundations for the future
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manufacturing sectors. Applicants should have a good background in mechanical, energy, or related engineering disciplines, with knowledge of thermal-fluid sciences, and be familiar with or willing to learn