161 computer-security-"https:"-"https:"-"https:"-"https:" positions at University of Nottingham
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are invited for a fully funded Industrial Doctoral Landscape Award in partnership with Siemens Digital Industry Software, focused on advancing the next generation of industrial Computational Fluid Dynamics (CFD
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the regulatory requirements of working within a suite of laboratories, i.e. COSHH, chemical audits and safety monitoring. You will work as part of a technical team, working flexibly to deliver an efficient and
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Gas Removal (GGR) programme. The Demonstrator will address the uncertainties concerning the extent and scope of deployment of biochar, its stability with respect to carbon sequestration, and to
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Taught (PGT) Programmes Team, part of the Education Centre within the School of Medicine. The role plays a key part in ensuring the effective delivery of the School’s PGT portfolio, combining programme
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engineering excellence needed for the aerospace sector. In this PhD, high-fidelity two-phase Computational Fluid Dynamics (CFD) methods will be used to model complex and fundamental cryogenic hydrogen flows
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Programme length: Four years (full‑time) Start date: 2026/27 academic year Keywords: biogenic supply chains, sustainable materials, biobased binders, road construction About the Net2Zero Centre for Doctoral
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administrative support for the School of Medicine PGT programmes (PG Cert, PG Dip, and MSc). This includes supporting curriculum review, timetabling, programme-specific events, and key stages of the student
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synthesis) • Have excellent organisational, communication and team working skills, willingness to secure external funding through competitive applications and ability to learn new skills and instrumentation
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, to deliver the final stages of this multi‑year research programme and support the production of high‑quality scientific outputs. About you- You will bring strong data analysis skills, including
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Gerada, the role holder will work with the academics, researchers and PhD students in managing and conducting research activities across the programme. Prior direct experience of successful PhD student