19 algorithm-development-"Prof"-"Prof"-"Prof" research jobs at Imperial College London
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methods to improve the deployment, adaptation capabilities and safety of robots and critical infrastructures. The developed algorithms will be evaluated on legged robots, wheel-based robots and under
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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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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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equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new optimization techniques, coding new algorithms, creating new mathematical
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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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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
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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 invited for the post of Principal Research Fellow within the Centre for Environmental Policy at Imperial College London. You will lead the development of a high-level analytic and
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with tailored training and one-on-one career development. The fellowships are flexible and independent, allowing recipients to freely explore while drawing on expert AI faculty mentors of their choice