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Field
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to the development of future manufacturing systems that are robust, reconfigurable, and fit for long-term operation. Motivation Modern manufacturing systems are required to operate under increasing uncertainty
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such as virtual reality are being used to increase motivation and adherence to exercise programmes without the need for in person contact. This work builds on our existing co-development and implementation
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the operational life of battery-powered devices and reducing the environmental impact of large-scale deployments. Advancements in this area support the development of sustainable technologies across various
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years. Award holders will also benefit from a comprehensive professional development, training and mentoring programme delivered through the University of Westminster Graduate School. The School is
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for continuous development through training courses offered by the University (e.g., coding skills, writing skills, etc), conference attendance and meetings with the industrial partner. This project will be
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understanding of the current topics in the field. We are particularly interested in PhD studentship applications that seek to address: Development of new methodologies for the evaluation of Shoulder/Upper Limb
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chemistry, flavour analysis, rheology, sensory science, and data-driven modelling, alongside structured development in responsible AI use, industry-relevant decision making, and translational research
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Recent advances in artificial intelligence (AI) have fuelled the idea of building “AI scientists”, i.e., systems that can perform part or all of the research process on their own. The development
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development opportunities, placements, additional funding and the London and the East of England Hub. CDA 1- Mapping Creative R&D in Art–Technology Ecosystems Creative Research & Development (R&D) is an
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variety of areas, as well as research identity and network, by attending schools, workshops, or formal courses in areas identified in development reviews.