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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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fees. We strongly encourage applications from EU and UK students, given funding restrictions. Early applications are advised to secure consideration. If you wish to discuss any details of the project
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select an application area (indicative areas include voting systems, digital identity, public consultation platforms, portals for nationally delivered services), and will investigate its functional and
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synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project
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Identifying and validating models for complex structures featuring nonlinearity remains a cutting-edge challenge in structural dynamics, with applications spanning civil structures, microelectronics
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-time (minimum 60% FTE, maximum 80% FTE) for 12 months in the first instance. “Committed to equality and valuing diversity” Applications for this vacancy are to be made online and you will be required
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with a background in cognitive psychology, data science or computer science and a willingness to develop skills in computational models of cognitive processes, statistical methods, and programming (R
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. Experience in working with large data sets, knowledge of statistics, and some programming expertise is essential. The project is based in ECEHH, at the University of Exeter’s Penryn Campus in Cornwall, and may
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, including a children’s barred list check, before commencing any research involving children. How to apply. Complete all relevant sections of the online application form . We also require you to attach
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backgrounds to join our community. At the Department of Applied Physics, our pioneering research in physical sciences creates important industrial applications that hold great technological potential. Our