146 high-performance-quantum-computing-"Multiple" Postdoctoral positions at University of Oxford
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been patented and licensed. We are currently seeking to apply such a pipeline to other important antigenically diverse pathogens thereby identifying vaccine candidates of limited variability but high
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interdisciplinary research programme involves national and international collaborators. We are a vibrant, enthusiastic, innovative and strategic enterprise with an internationally leading position to make a real
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Science Park. The post is funded by Innovate UK and is fixed-term to 30th April 2026. The CEBD project is an ambitious programme to develop the first category enhanced battery powered eVTOL. The project
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in running hydrogenation reactions using both heterogeneous and homogeneous catalysts, and have experience in catalyst design and reaction intensification in batch and continuous flow. A high level of
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it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid crystal resins. Additionally, you will develop
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leading academic and industry experts, and an active academic/industry exchange program that aims to accelerate career development for the postholder employed on the project. About you The postholder should
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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Wellcome Trust and by project-specific funding from the EU Horizon programme. As part of a multi-disciplinary research team, you will contribute to analyses of the global food system. Some of the interests
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Bandgap Semiconductor Device Technology) to accelerate the UK’s ambition for NetZero by transforming the next generation of high voltage electronic devices using wide/ultra-wide bandgap (WBG/UWBG) compound
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods