105 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" positions at Imperial College London
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technology, environmental sustainability and/or new frontiers of space, security and telecoms? If so, we invite you to join Imperial College London as a Bid Development Manager for one of our Schools
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Imperial College London seeks an accomplished and strategic development professional for the position of Deputy Director of Global Development, Asia – a key position as we prepare to launch our
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, the Power Platform and Data Systems Developer will be responsible for managing and supporting the use of Power Platform and Microsoft 365 applications; seeking opportunities to improve processes and working
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We are recruiting the exciting position of Deputy Director of Global Development, North America. This is an opportunity to drive Imperial’s ambitious fundraising efforts in North America as we
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exciting leadership positions in the sector, the newly created role of Director of Development: Principal & Global, will be pivotal in helping Imperial scale its ambition and impact, at a moment of
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technology, environmental sustainability and/or new frontiers of space, security and telecoms? If so, we invite you to join Imperial College London as our Head of Bid Development for the Schools of Convergence
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Are you experienced at developing impactful exhibitions and excited by the opportunity to deliver a purposeful permanent exhibition at the heart of a new research centre and public venue, in
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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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of such systems, but this is driven from the fundamental theoretical knowledge that underpin them. You will be co-creating new models, algorithms and schemes to advance the field of joint sensing and communications
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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