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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
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is available immediately. This role will address two key aspects of programme development; the design and construction of new bioluminescent and other reporter strains of human fungal pathogens
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at Edward.Vallance@roehampton.ac.uk For queries on the application process the Human Resources Department can be contacted by email at: recruitment@rhul.ac.uk Please quote the reference: 0725-153 Closing Date: 23:59
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at claire.kennan@rhul.ac.uk . For queries on the application process the Human Resources Department can be contacted by email at: recruitment@rhul.ac.uk Please quote the reference: 0725-158 Closing Date: 23:59, 1
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collegiality is at the heart of what we do. The Department’s research structure consists of five Research Groups: Algorithms and Complexity (ACiD) Artificial Intelligence and Human Systems (AIHS) Network
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near to Windsor Great Park and within commuting distance from London. For queries on the application process the Human Resources Department can be contacted by email at: recruitment@rhul.ac.uk Please
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, or single-photon detectors (used for single-photon Lidar), that natively produce event-like data that is compatible with spiking networks. Similarly, detection events from RF (radar and electronic
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develop photoluminescence and spin control capabilities, under cryogenic conditions, to probe the defects’ electronic structure and spin properties. This effort will be combined with ongoing work in the
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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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regular arrays to probe novel quantum phenomena in strongly interacting quantum systems. The use of molecules is motivated by their rich internal structure, combined with the existence of controllable long