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to the broader Innovation and Knowledge Centre mission to help bridge the gaps between academic research and industrial impact in this field. A strong background in machine learning, computer engineering, applied
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Group (AESE) at Imperial recently won the 2020 President’s Medal for Outstanding Research. The particular focus of CHEDDAR is where the world of communications interfaces with next generation computing
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the Department of Computing ranked top of the 2021 UK REF assessment. McCann’s Adaptive Emergent Systems Engineering Group (AESE) at Imperial recently won the 2020 President’s Medal for Outstanding Research
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for chemical and process engineering applications. Building on your existing expertise, you will interface electronic instruments and electro-mechanical systems with computer control systems including both PCs
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into textile-based embedded computing systems. You will work across disciplines - bridging the gap between creative design and technical engineering - to understand the environmental and social impacts of e
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for sponsors and contribute to publications; present work at internal meetings, conferences and workshops; provide guidance to staff and students and contribute to grant bids. - MSc in Computer Science
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imaging, physiological measurement, machine learning, and high-performance computational modelling. You will work with cardiology, cardiac electrophysiology, imaging, and biomedical engineering teams
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will work within a highly interdisciplinary and international environment, collaborating closely with experts in research software engineering, technological innovation, environmental policy, and
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opportunity to support high‑profile translational and data‑driven research programmes, including the My Heart Counts BHF Programme Grant, the Imperial PH Biobank, and multi‑institution collaborations with
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, 60 teaching, professional and technical staff and about 120 postdoctoral researchers. The Department offers a four-year MEng degree programme in chemical engineering, attracting about 160 entrants each