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to open the post to external candidates, the strapline at the top will be removed and you will be given ample time to apply – please check back periodically for details. The School of Engineering holds
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About the Project We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleagues to join the ground-breaking PharosAI initiative – a £43.6M national programme
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of second-generation Quantum Technology (QT) systems. Your successful application will mean you will join an established team of QT researchers. Within the team you will develop, refine and apply high
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growing national and/or international reputation for research in the sustainability space, alongside a passion for translating social science research into useful learning and wider impact. Applicants
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reasons will be considered. This is because the roles are aimed at early career academics who would benefit from a structured development programme and provision of both formal and ‘on-the-job’ training
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research programme that rethinks how container supply chains (CSCs) are studied in the context of risk, resilience, and sustainability, as part of a prestigious European Research Council (ERC) initiative
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teams to design, implement, and optimise innovative solutions that push the boundaries of technology. The role will span various stages of the project lifecycle, from initial concept development to final
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Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible
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, mechanical engineering, or related subject with a record of publishing in high-quality journals. Good skills in applied Computational Fluid Dynamics (CFD) methods and proven experience of leading research
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uncertainty quantification via conformal prediction. You’ll contribute to open-source projects, extending tools like MONAI for the computational pathology community, and support the data science team in