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are seeking a postdoctoral research associate to contribute to an innovative EU Pathfinder project at the intersection of polymer chemistry, molecular dynamics simulations, and machine learning. The primary
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with in-silico ‘digital twin’ simulations and AI technologies, to more accurately localise the electrical waves driving the arrhythmia episode. Gaining such a better understanding of a patient’s specific
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, cutting-edge radio instrumentation and digital signal processing, citizen science, sky surveys, and studies of transient and variable objects. Listen is deeply involved with the department's educational
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and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics calculations and Brownian Dynamics simulations. The group is looking
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to observational collaborations and include simulated observations. About You Candidates should have a PhD in a relevant discipline or will have obtained it by commencement of the position. Successful candidates
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, machine learning, multiscale and multiphysics simulation, computational anatomy, medical image analysis, and integration of wearables and biosignal processing, applied to conditions ranging from cardiac
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, drawing on their experience with signal processing, neurophysiology tools, and programming. In addition to technical tasks, the Postdoc will contribute to the smooth running of the research program through
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: Essential criteria PhD qualified in Biomedical Engineering and Physiology. Proficient in physiological time series processing with SPAR technology and others time series approaches. Coding knowledge in
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. The post is offered at a competitive salary (Grade 6, Spine Point 33 on the KCL salary scale), and includes provisions for travel money, computer equipment and academic and leadership training. This is a
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and data processing skills: experience of programming in one or more languages (e.g. R, C/C++, Python, Matlab). Practical experience of algorithm development and implementation of machine learning