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of biological brains. Spiking neural networks (SNNs) can offer increased processing speed and reduced power consumption, especially when implemented on dedicated hardware (neuromorphic chips or FPGAs). Standard
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aims at addressing computational challenges associated with data acquisition and information extraction from complex sensors and sensor networks. Crucially, uncertainty management and quantification
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experimental demonstration of quantum digital signatures over installed optical fibre in the Tokyo network) (2015 and 2017), and several novel coherent state amplification experiments. We have pioneered single
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industrial and healthcare technology to fundamental scientific research, both in our own laboratories and in collaboration with a large international network of partners in academia and industry. LUPO is
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to collaborators as well as broader audiences through e.g. conference presentations. Candidates must hold a PhD degree in supramolecular chemistry, and will have experience in the synthesis, modification, analysis
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postdoctoral researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see https://www.hw.ac.uk/uk/schools/mathematical-computer
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-supervise a PhD student. A secondary affiliation to EPFL or UoE may be offered to candidates with the appropriate profile. Appointment is initially for 1 year, and renewable for up to 3 years, depending
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with PhD students and the other PDRAs of the Prosperity Partnership. The PDRA will report on project progress and outcomes to the Prosperity Partnership Management Group, as well as participating in
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, the Leonardo engineers involved in the project, and Dr Sam Tammas-Williams and Prof Jonathan Corney from University of Edinburgh. They will also work with PhD students and the other PDRAs of the Prosperity