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for teamwork will be ideal. About Us As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in
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Location: University Park Applications are invited for the above research post that is part of a large and exciting multi-disciplinary collaboration involving both academia and industry. The project
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Experience in one or more of the following areas is preferred: Statistical genetics Human genetics Population genetics Evolutionary genetics Bayesian statistics Machine learning Large-scale genomic data
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research programmes, and publication in high-quality peer-reviewed journals would be advantageous. About Us As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities
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scales, from the genome to the continent, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning
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Applications are invited for the above research post that is part of a large and exciting multi-disciplinary collaboration involving both academia and industry. The project will develop sustainable
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distributed fiber-optic sensing, passive seismology, urban geophysics, seismic imaging, wave propagation, or near-surface characterization. Experience processing large-scale DAS or seismic datasets, including
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. The research will involve developing analytical models, performing large-scale numerical simulations of open quantum systems, investigating decoherence and noise processes, and exploring new architectures and
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multivariate, statistical-genetic or machine-learning approaches. · Research involving developmental, ageing or neuropsychiatric cohorts, including longitudinal or large-scale population datasets. · High
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join a dynamic and collaborative team engaged in large-scale, externally funded projects addressing pressing urban challenges in Singapore and globally. The positions offer a supportive research