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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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, or a combination of, the following research themes: 1. Development of new thermoreversible photocycloaddition reactions We create new photochemistry platforms capable of undergoing quantitative covalent
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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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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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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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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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. The research will encompass rig design and development, advanced aerodynamic measurements, instrumentation integration, and advanced aerodynamic post processing for complex unsteady flows. The overall aim is
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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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attention to boundary conditions and heterogeneity. The outcomes will support improved design, risk reduction and development of low-carbon geothermal resources. This project addresses sustainable resource
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the climate system through the development and utilisation of geospatial foundation models for clouds in the context of climate research. Successful applicants will work closely with IBM and our international