31 high-performance-quantum-computing-"https:"-"https:" Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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laboratory, please see: http://www.highvoltage.ecs.soton.ac.uk/ You should have a PhD related to Electrical Engineering or Materials Science, ideally with experiences in High Voltage Engineering, or equivalent
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involving industry and academia, funded substantially by the UK Space Agency. This is part of the UK Space Agency National Space Innovation Programme just announced by UKSA. The overall project is to develop
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novel photoluminescent complexes for sensing, upconverting materials, and quantum technologies. The successful candidate will be required to hold (or near completion of) a PhD in inorganic chemistry
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, characterization, and testing of novel high performance multifunctional materials. During the project, you will conduct independent research within the designated area while actively seeking opportunities to apply
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; or Experience with high-fidelity solvers, e.g. SU2, OpenFoam, StarCCM+, Fluent; Proficiency in programming, e.g. Python, Matlab, C; Experience utilizing high-performance computing (HPC) to parallelize workflows
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. The successful candidate will work part time as clinical research fellow supporting Professor Clark in his NIHR funded research programme on rapid diagnostic tests. The University of Southampton, Faculty
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investigation of lamellar liquid crystal lubricants in tribological contacts. To support the extensive experimental side of the programme, you will have strong practical skills and a track record in the areas
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Lead research projects focused on understanding and redesigning enzymes using a combination of structural and computational approaches. Deliver high-quality structural biology, applying advanced methods
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by building new AI tools that can work alongside human analysts. Intelligence analysts are routinely required to make high-consequence, defensible assessments from vast, complex and uncertain datasets