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Field
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on developing your core research skills Programme flexibility with the introduction of study tracks to tailor your studies, supported by a wide range of research groups The opportunity to develop a global network
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networks continuously generate sensitive data. You will investigate adaptive learning frameworks – such as multi-agent or multi-task approaches – that ensure robustness, explainability, and trust across
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finance, networks and insider trading Market-based accounting research and corporate transparency Sustainability, corporate social responsibility (CSR) and environmental, social and governance (ESG
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industries: in-car systems, medical devices, phones, sensor networks, condition monitoring systems, high-performance compute, and high-frequency trading. This CDT develops researchers with expertise across
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interest in expanding their knowledge in both domains. (1) Geometry/Topology -related methods in computer science. (2) Machine Learning. (For example, graph neural networks, generative networks, or neural
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of the Hub. Our approach enhances T2 (Interconnected QC systems) through verification methods for connected networks, supports T1 (Integrated quantum demonstrators) via hardware-agnostic metrics, and enables
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This is a four-year (1+3 MRes/PhD) studentship funded through the Cambridge EPSRC Centre for Doctoral Training in Future Infrastructure and Built Environment: Unlocking Net Zero (FIBE3 CDT). Further
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(to help achieve net zero goals) can impact on the indoor environment and have positive or negative impacts on human health. For example, action improving insulation may increase thermal comfort within a
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so, you will play a key role in advancing hydrogen turbine technology and supporting the global transition toward green energy and net-zero emissions. Why this project is unique A major highlight of
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, its wide networks of top international scholars, participation in international projects, and funding for conferences and training. We encourage applications from candidates of diverse backgrounds and