75 high-performance-quantum-computing-"https:"-"https:" positions at Swansea University
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. Working across academic, technical, clinical and policy communities, you will manage a small core team and collaborate closely with wider partners to deliver a high-performing, trusted service. This role
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Testing (NDT) – a crucial technique used in industries to assess materials, components, and structures without causing damage. This PhD project focuses on advancing Ultrasound Testing and X-ray Computed
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closely with Programme Management colleagues, the postholder contributes to the smooth operation of academic planning processes, student module selection, and the day-to-day administration that underpins
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relevant to particle physics and cosmology. The candidate will use formal tools descended from string theory and supergravity, to perform analytical and numerical calculations of observable quantities in new
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In this PhD you will help explore a new trajectory for AI research, EVE - everyone virtuoso everyday - to succinctly summarise the drive of the work. That is, we are interested in defining and evaluating a class of AI technology that enable expressive, individual and masterful interactions, like...
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. The ideal candidate should have background in one of the Machine Learning or Data Science domains with high motivation for upskilling and filling any gaps in their knowledge based on the requirements
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funding for previous high-performing team members, and we anticipate continued development of VELA beyond the initial contract period. Technical community: While you'll be the lead architect for VELA
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. Experience of working in higher education or another regulated environment is desirable. The post sits within a high-performing and fast-paced Clinical Placements Team. The postholder will be highly organised
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technical systems to enhance the operation of the Health Informatics technical team. Working on world leading research projects across the UK and internationally the post holders will have the opportunity
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post-quantum cryptography. The simulation of these case studies will enable the validation of their cyber resilience properties by employing appropriate AI approaches such as reinforcement learning