536 high-performance-computing-postdoc positions at University of Sheffield in United Kingdom
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PhD student to develop high-performance avalanche photodiodes for detecting weak infrared optical signals. The PhD student will gain a range of valuable skills for semiconductor research (e.g. wafer
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researchers through a structured programme of activities. Main duties and responsibilities Take a leading role in shaping how the Planning for Nature project communicates its research findings to a wide and
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systems including our single sign on infrastructure and integration tooling. Designing, implementing and managing the hosting of all systems run by the team so they are resilient and performant enough
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of sustainable hydrogen production. The successful student will have access to the University of Sheffield laboratories and to the High Performance Computing (HPC) clusters (ShARC and Bessemer). Our group has
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methods, test and analysis of semiconductor devices and their relationship to high quality epitaxy Desirable Application/Interview/Presentation Experience in the independent operation and management of MBE
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DBS check will be required for the successful postholder. These posts are part of a central team that includes a range of high-performing marketing, recruitment and events professionals. The team vision
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of digitally controlled wide-bandgap power electronic systems such power factor correctors and high voltage inverters to improve X-ray generator performance. The candidate will lead this project, liaising with
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. The successful applicant will use a variety of imaging and computational image analysis techniques to generate a 3D morphometric atlas of post-embryonic stages of otic development in the wild-type zebrafish, with
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Overview This post is funded by the Quantum Computing Hub (QCI3) supported by the Engineering and Physical Sciences Research Council (EPSRC). The QCi3 Hub is part of Phase III of the UK’s Quantum
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. You will take an active role in analysing, categorising and documenting the collected data, developing of vulnerability/fragility curves using numerical methods, implementing exposure models, performing