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About the role An exciting opportunity has arisen to join the Department of Mechanical Engineering, working with the wider academic team on next-generation design and manufacture of composite
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. Developing data pipelines, machine learning models, and smart agents in simulated and real environments to develop and test hypotheses around the application of AI in developing resilience to pandemics
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(essential) / PhD (desirable) in Computer Science, AI, or a related field. Essential skills/ experience required include: Strong Understanding of machine learning algorithms, including deep and federation
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of diagnosing lymphatic system dysfunction. This project provides the opportunity to develop flow systems that imitate lymphatic system flows. This will enable our collaborators in medical imaging to have a gold
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Urban Green Infrastructure Planning for Connectivity, Sustainability, biodiversity and multifunctionality School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Jingxia
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medicine and health. You should hold a PhD degree in the social sciences or humanities (e.g., anthropology, sociology, history, geography, political science, STS, development studies). Your areas of research
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ambitious project. You should hold, or be close to completing, a PhD in a relevant field such as applied or pure mathematics, physics, control engineering, or computer science. You will join both the SAMS
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simulate the role of stratospheric aerosols and the effects of these on the chemistry and climate of the stratosphere and troposphere. Tasks associated with the projects include development of code
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Reconfigurable metamaterials for mmwave applications School of Electrical and Electronic Engineering PhD Research Project Directly Funded Students Worldwide Prof Lee Ford, Dr Stephen Henthorn
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AI-enabled digital technologies for the resilient operation of power systems School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Xin Zhang Application Deadline