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project aims to address the current limitations of traditional frame-based sensors and associated processing pipelines with a new family of algorithmic architectures that mimic more closely the behaviours
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Responsibilities Develop suitable algorithmic methods for live and real-time analysis of synchronous and asynchronous data. Write research reports and publications. Analyse and interpret the results of own research
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development of algorithms using modern machine learning libraries (mainly pytorch) and over the course of the project duration, the developed algorithms is expected to reach a medium to high TRL. The applicant
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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 of Engineering and
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image processing, from theory and algorithms to applications throughout science and technology. We particularly welcome applications from candidates with expertise and research focus on machine learning