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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring
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coalitions for delivering reliable, low-carbon energy services. Collaborating closely with UK Power Networks, SSE Energy Solutions, and the University of East London, you will develop robust economic Model
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ambitious new project on the safe deployment of medical imaging AI. The purpose of the role is to conduct world-leading research on AI for medical imaging. The goal is to develop methodologies and
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our understanding of neurodegeneration, and accelerating the discovery, development and delivery of interventions that will help diagnose, treat, and ultimately prevent dementia. We are developing new
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Applications are encouraged for two Research Fellow posts to work within the Department of Civil and Environmental Engineering at Imperial College London in developing a new research strategy. As
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of the fingers, and the positions of tactile sensors), and the control policy for that hand, when given a particular task or set of tasks. Through this, we aim to develop a framework that can automatically
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algorithms. The research focuses on wind energy applications, creating a compelling sustainability narrative: developing more efficient computational methods to optimize wind farm performance, which in turn
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development, documentation, and governance. The post holder will also support the group’s research delivery team, based at Royal Brompton Campus in Chelsea, assisting with sample processing, DNA extraction and
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you will be providing key input into intervention development, and ultimately a potential medical device that could become adopted into clinical practice, not just in the UK but globally. You will be
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. Therefore, you will be contributing to the development and refinement of a potential medical device that could become adopted into clinical practice, not just in the UK but globally. You will run the project