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control of image illumination/acquisition and stage movement systems. Processing and analysis of data from the above. Interacting with commercial collaborator for the translation of concepts to applied
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surveillance) sensors can also be seen as temporal events. While data from current sensors can be manually converted into events for fast processing, it is also possible to develop hybrid structures where some
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-Watt have a long–standing track record in researching ground-breaking single photon detection and applications in quantum communications and single-photon imaging. With single-photon avalanche diode
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-traditional, e.g., event data) and network structures (for sensor networks). In this project, we will investigate Bayesian deep learning approaches to training models under uncertainty for several sensing
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Attend weekly research group meetings, as well as the biweekly Edinburgh Mathematical Physics Group joint seminar Interact with other Postdoctoral Research Associates and PhD students working on related