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working full-time. Swansea University is seeking an experienced and strategic Programme Manager to lead the next phase of the DATAMIND Trusted Research Environment (TRE), a national platform supporting
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to develop, because all of the features associated with the small- and large-molecule drug components must be optimised together. Computational mathematical modelling is used to make the optimisation of ADCs
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world. Our reward and benefits, and ways of working enable those who join us to have enriching careers, matched by an excellent work-life balance. About The Role This role sits within the Programme Management
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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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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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engaged in the delivery of a double LLB degree in collaboration with Dalian Maritime University (DMU). This programme will enable students to study our LLB degree in China in addition to studying Law BA
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Programme, which seeks to transform the UK’s capabilities to improve understanding of mechanisms and health outcomes, using respiratory and allergic disorders as exemplar domains. We seek to enrol the most
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to contribute to a nationally significant mental health research programme while gaining valuable experience within a complex, multi-partner environment. DATAMIND is a UK-wide Mental Health Research Hub and a
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creativity to use their strong administrative skills, and events and communications experience to deliver an innovative and successful engagement programme. Equality, Diversity & Inclusion The University is
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, interpretable models from experimental and operational data. The core goal is to balance model accuracy with computational efficiency, while meeting the needs of experimental validation. The framework will