29 high-performance-quantum-computing-"https:" "https:" "https:" "https:" "https:" positions at City University London
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with outstanding facilities, strong clinical partnerships, and a commitment to delivering high-quality teaching that prepares the next generation of radiography professionals. Additional Information
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with outstanding facilities, strong clinical partnerships, and a commitment to delivering high-quality teaching that prepares the next generation of radiography professionals. Additional Information
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an interest in Higher Education Additional Information Closing date for applications: 08 March 2026 at 11:59pm Interviews date: TBC Please quote reference: 953-26 https://jobs.sgul.ac.uk/953-26 City St
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-26 -https://jobs.sgul.ac.uk/443-26 City St George’s offers a sector-leading salary, pension scheme and benefits including a comprehensive package of staff training and development. City St George’s
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Please quote reference: 440-26 Please use the link below to apply: https://jobs.sgul.ac.uk/440-26 City St George’s offers a sector-leading salary, pension scheme and benefits including a comprehensive
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. These activities are underpinned by advanced numerical simulation, data-driven methods, and high-performance computing, enabling high-fidelity analysis and predictive modelling of next-generation energy systems
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. This role is ideal for someone with strong organisational and communication skills, a methodical approach, and a desire for a diverse role within a high-performing team. The ideal candidate should be keen to
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interaction phenomena, and Exploration of transonic aerodynamic characteristics. Furthermore, the group benefits from the integrated use of high-performance computing resources, enabling high-fidelity
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. Please quote reference: 455-26 Closing date for applications: 8 February 2026 at 11:59pm Please use the link below to apply: https://jobs.sgul.ac.uk/455-26 City St George’s offers a sector-leading salary
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moderate to severe non-psychotic perinatal mental health difficulties, and their babies. The project is funded by the National Institute for Health Research: https://fundingawards.nihr.ac.uk/award/NIHR162467