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of Manchester. The post holder (RIA) is expected to start on 1 June 2026 (or as soon as possible thereafter). They will collaborate with the PL on the data collection, research and dissemination of one
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home depending on the activity. Further information on hybrid working can be found here . Excellent training and development opportunities. A generous annual leave scheme with 30 days bookable leave and
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may be eligible to be sponsored under the Skilled Worker visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https://www.gov.uk/skilled
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datasets generated by PIV and PLIF experiments to determine the effects of rotation on mixing efficiency and solute deposition. You will develop scripts for data processing and visualization, providing
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range of platforms including financial software, Google applications and Microsoft Office. You are comfortable handing sensitive and confidential information, and you are committed to supporting disabled
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Research Application form available here: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying. Please clearly state the prospective main supervisor in the respective box and select ‘School
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confidence and freedom to be themselves in the workplace. For more information, visit: https://www2.aston.ac.uk/about/inclusive-aston Guidance on AI-Assisted Applications While we cannot prevent applicants
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to have the confidence and freedom to be themselves in the workplace. For more information, visit: https://www2.aston.ac.uk/about/inclusive-aston Guidance on AI-Assisted Applications While we cannot prevent
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above and our ‘Find a Supervisor’ page for information on our academic staff and their research interests. For guidance on writing a research proposal, please see: https://www.westminster.ac.uk/study
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We are seeking a committed and enthusiastic Teaching Associate in Financial Technology with Data Science to join our academic community. You will contribute to delivering high‑quality teaching