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Overview This 6 month post is associated with an i4i FAST grant in partnership with an award-winning medical tech company, WalkWithPath. The grant is titled “Step-sensor: Can sensor-based insoles
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, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm
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will include contributing to our clinical NLP tools, algorithms and interfaces used by clinical specialists. The post holder will be expected to be able to contribute in the following areas: Extend our
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Job Purpose To make a leading contribution to the development of innovative muon tracking algorithms for cutting-edge applied nuclear physics research. The successful candidate will be expected
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-based sensors (e.g. accelerometers, gyroscopes, thermocouples), developing embedded systems for real-time data acquisition and transmission, and conducting comparative testing under laboratory and real
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will be able to teach Discrete Mathematics, Design and Analysis of Algorithms, Models of Computation, and Algorithms and Data Structures. The exact courses tutored may vary but would likely consist of
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to involve the development of electronic circuitry and instrumentation related to the optical sensor at its core, along with the application of the developed instrumentation within various fields. However, the
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-resource settings. This project aims to achieve several objectives, including the development of a new AI-algorithm and a paired dataset for comparing how different imaging techniques influence
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contributing to our clinical NLP tools, algorithms and interfaces used by clinical specialists. The post holder will be expected to contribute to: Extend our software platforms for electronic healthcare record
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. By integrating cutting-edge multi-agent systems, federated learning, and game theory, this project will develop sophisticated decentralised algorithms that enable autonomous vehicles (AVs