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-related enquiries, escalating issues where appropriate. Prepare documentation and evidence for internal reviews, external audits, and accreditation events. Review and process programme and module
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Materials, mastering scientific machine learning, uncertainty quantification, and high-performance computing. Your models will inform fusion design and advance AI-for-materials. Perfect for physics, maths
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: Reporting to the Venture Builder Manager, the role will provide support for an annual programme of workshops, keynote talks, competitions, bootcamps and accelerator to encourage and inspire more people to
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Electronics, will use computational simulations to study how thin films form during flowable chemical vapor deposition (FCVD), a process used to build advanced semiconductor devices. Unlike traditional CVD
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, fostering an inclusive and egalitarian community. We offer: Membership of the University’s staff benefits program, including 38 days’ paid holiday (pro rata for part time appointments) and access to world
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This is an exciting opportunity to join one of the most successful College philanthropic programmes. This is a senior role on the Clare Development Office Team with responsibility for supporting the Development Director in the management and running of the Development Office. The role is...
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geotechnical engineering with an emphasis on digital technologies, computational modelling, smart systems and artificial intelligence. This could cover but is not limited to, research ranging in: Computational
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wellbeing programme, training and development opportunities and much more. All of our staff benefit from a generous pension contribution as well. As part of hybrid working at King’s, all team members can work
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recognised authority in dynamic-compression science and high energy density physics. They will be expected to be capable of developing their own programme of independent externally funded research projects
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programme, Deep Molecular Phenotyping of Metastatic Breast Cancer. This ambitious, interdisciplinary project aims to generate an integrated, multi-omic understanding of secondary (metastatic) breast cancer