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Field
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processes that could be realised in neuromorphic hardware. The research will combine theoretical derivation and simulation-based validation, using mathematical modelling, algorithmic experimentation, and
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research to investigate new optimisation algorithms for the refinement of single-particle and/or subtomogram data for cryo-EM structure determination. Main duties: • To undertake research aimed at aimed
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modelling are essential. Experience with healthcare data, algorithmic fairness, or deep learning for biomedical data will be advantageous. The successful candidate will contribute to high-impact publications
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). You will develop an AI/machine learning model using spatial proteomics that can accurately differentiate CRS phenotypes. You will have an opportunity to apply the AI/machine learning algorithm to tissue
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. Successful re-development for end-of-life composites could enable reuse in other structural applications. This PhD will investigate the development of hierarchical Bayesian algorithms to capture
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experience with implementing machine learning algorithms. Experience or interest in innovative control systems engineering including IEC 61499 would be an advantage. The candidate will be immersed in a
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including nervous system) Experience with data analyses using chronobiological algorithms (e.g. RAIN, Metacycle) High level of both spoken and written English (official certificate not required) High interest
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. The BASP laboratory is developing cutting-edge research on all aspects of computational imaging, from theory and algorithms, to applications in astronomy and medicine. Dr Wiaux is a Professor in the School
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use deterministic algorithms based on time-frame and frequency of code occurrence to generate a large number of binary features. This project will compare that type of approach with NLP-based feature
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implementing innovative signal processing algorithms for radar sensing and communication, establishing clear research objectives, and engaging in the collaborative projects. In addition, the position involves