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) for different scientific applications, including simulations, large-scale data analyses and AI. This will involve designing test protocols, building test benches to track power and energy usage, and running
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) culture. This five-year project is led by Professor Sujit Sivasundaram. The successful applicant will join a team of researchers, including postdoctoral fellows and an existing doctoral student
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) culture. This five-year project is led by Professor Sujit Sivasundaram. The successful applicant will join a team of researchers, including postdoctoral fellows and an existing doctoral student
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-resolved mass spectroscopy and should be versed in materials characterisation methods including XRD, nanoindentation, profilometry and AFM. You should also be familiar with theory of plasma discharges and
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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The overall aim of the project is to resolve the quantum trust challenge where the inherently quantum nature of these devices, being beyond classical simulation, complicates their straightforward validation
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computing. Current challenges in quantum technology adoption stem from the lack of standardized benchmarking methods and the inherent difficulty in validating quantum devices beyond classical simulation
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research and teaching expertise in the related areas; (b) preferably have at least two years of postdoctoral research experience; (c) have demonstrated promise of a high level of creative ability in
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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analyse the experimental data, developing techniques to extract information about the rotational orientation dependence of the gas-surface reaction, as well as performing numerical simulations to determine