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the Cardiac Electro-Mechanics Research Group (CEMRG) at Imperial College London which applies statistical, machine learning and simulation approaches to combine experimental and clinical data with physics and
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-Throughout Digital Electronics and Machine Learning - we demonstrate a strong commitment to interdisciplinary collaboration. Visit our webpages for more information about the Department of Physics and the
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Applications are invited for a Research Associate* position in the intersection of machine learning and information theory. The successful candidates will be based within the Information Processing
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models, design of experiments, and/or symbolic machine learning. See job description for full list of requirements. *Candidates who not yet been officially awarded their PhD will be hired at Research
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, including exploitation of machine learning based algorithms related to tracking and vertex finding. This will include simulations as well as integration of algorithms into electronics hardware and testing in
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developing machine learning or data science approaches for patient stratification and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful applicants will
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modelling, graph theory, probability calculus, optimal transport, optimization and feedback control, machine learning, and a knowledge of distributed ledger technologies. A track record of publication in
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for research funding and manage the resources (including where relevant a research team) of successful grants. You will teach and examine courses at all levels (undergraduate, MSc and PhD degrees) through
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discipline. Research interests that will contribute to the strategy of the department. Relevant underpinning topics include: Automation, Design, Dynamics, Fluid Mechanics, Machine Learning (applied