645 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "UNIV" uni jobs at University of Sheffield
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Further Information Grade 3 Salary £23,742 per annum Work arrangement Full-time Duration 3rd August 2026 – 30th July 2027 Line manager Software Developer/Senior Software Developer Direct reports N/A Our
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be answered using primary mixed-methods data collection to offer a detailed, nuanced exploration of the research questions from diverse interdisciplinary perspectives. The project will include
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University Executive Board. You will oversee governance, legal services, and data protection, and serve as the University’s Senior Information Risk Officer. This role is critical to the delivery of our One
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coordinating contributions from partners. Information, Data and Governance Maintain secure filing systems for documents, ethics submissions, approvals and partner correspondence. Support adherence to GDPR, NIHR
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colleagues and transform complex information into actionable insights that drive strategic business decisions. If you’re a proactive problem-solver, who values curiosity and a collaborative approach to move
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engagement and relationship management. Communicate information across different channels and audiences. Develop a plan for alumni engagement with MBA students identifying their potential contribution
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experiments and data analysis. Analyse and accurately record data to aid the design of future research and produce useful findings for other academics, funders, policy makers and practitioners. Plan and prepare
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-CFD methodology by: • Developing advanced models for phase momentum and energy transfer. • Validating predictions against high-quality experimental data (e.g., void fraction and pressure drop
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fusing physics-based modelling with data-driven learning, the digital twin will enable accurate real-time assessment of structural condition, improved prediction of degradation, and reliable estimates
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neutrino physics—using a combination of CMB and large-scale structure data. The analysis will rely on modified Boltzmann codes (e.g. CAMB or CLASS) and Monte Carlo techniques for parameter inference