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. The successful applicant will work with Professor Christian Beck to develop stochastic models for measured frequency data, to construct superstatistical stochastic differential equations with the same statistical
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of developing agent models, using symbolic and sub-symbolic AI techniques. Experience with the teleo-reactive model of agent execution. Experience with experimental data-analysis Experience with developing
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. Bayesian inference, methodologies, e.g. modelling of spatio-temporal data, and applications, e.g. biostatistics. About You The successful candidate will hold (or be about to receive) a PhD (or equivalent) in
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research resources (data, expertise, analysis, theories), and building an interdisciplinary evidence base. The job holder will oversee all CRILS activities and communications, apply for further funding, and
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Reference 1224-350 Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit