592 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" scholarships in United Kingdom
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technologies. More information about the group can be found at www.ANMSA.com . We are seeking highly motivated, bright and enthusiastic candidates with a strong background in micro/nanofabrication
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might need to qualify for salary concessions. For more information, please visit the Government’s Skilled Worker visa page. For research and academic posts, we will consider eligibility under the Global
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physics-based and data-driven methods to support the design and scale-up of these systems. This approach will reduce the need for costly experiments, improve scale-up predictions, and provide confidence
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central role in collecting and analysing quantitative data from employees trialling shorter working weeks. They will examine how working time reduction affects wellbeing and perceptions of work in diverse
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performance. This PhD project aims to develop a data-driven framework for graphene aerogel design by integrating structured experimental Design of Experiments (DoE) with machine learning (ML). The student will
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of the developed drug delivery system. The results of this project may lead to the identification of a novel drug delivery system to treat sarcoma using photodynamic therapy. Further information: This three-year
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an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject Area Medical imaging, biomedical engineering, computer science & IT
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Decision support systems assist decision makers in instances when information available for decision making is vast and beyond human information processing capabilities. The Video Assistant Referee
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This PhD project aims to transform paediatric healthcare by addressing critical data and research gaps through advanced artificial intelligence (AI). Despite its importance, paediatric healthcare
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turbomachinery design is increasingly the primary bottleneck. Within the next decade, this workflow will be largely replaced by data-driven inverse design models, enabled by the growing availability of high