2,001 high-performance-quantum-computing-"https:"-"https:"-"Univ" Fellowship positions
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to £38,887 per annum Apply by: 19/04/2026 Role Description An exciting opportunity has arisen to join Cranfield University as a Research Fellow in High-Speed Propulsion Aerodynamics and help shape next
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to concentrate on innovative metasurface-engineered tubular designs, advanced ceramic manufacturing, and high-temperature performance evaluation. The project involves developing a mini-scale tubular high
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to £38,887 per annum An exciting opportunity has arisen to join Cranfield University as a Research Fellow in High-Speed Propulsion Aerodynamics and help shape next-generation supersonic air vehicles. About the
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photonics, quantum optics, or quantum information science. At least 2 years of relevant research experience with hands-on experimental work in integrated photonics, optical or quantum photonic systems
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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stakeholder engagement. Responsibilities: Lead research on Rydberg-atom quantum sensing platforms, including experimental design, system integration, and performance characterisation. Develop measurement
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to decarbonisation, and the motivation to determine how quantum computing can advance this area. You will be based in an established team of experts in computational molecular and materials science within the AIBN
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for Physical Sciences Qubit Collaboratory (LQC) is a national Quantum Information Science Research Center hosted at the Laboratory for Physical Sciences (LPS) at the University of Maryland, College Park. The LQC
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Responsibilities: Investigating degradation mechanisms, improving material stability and performance, and collaborating with interdisciplinary research teams. Contribute to high-impact publications, mentor junior
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from AI data centres and high-performance computing. The appointed Research Associate/Fellow will conduct computational studies of electronic transport and quantum phenomena in 2D semiconductor materials