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Field
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- HydroGraph ) Start date: 6th October 2025 Project Description – The aim is to develop a fundamental understanding of the reinforcement mechanisms enabled by FGA-1, including its impact on 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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notebooks, workshop plans, performance reviews, funding applications, etc.), attendance at live performance events, workshops, residencies and interviews. It investigates how these taxonomies can capture and
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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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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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-driven ML methods. Applicants should have, or expect to achieve, at least a first honours degree or a master’s with distinction (or international equivalent) in a relevant science or engineering related
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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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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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: m.j.middleton@soton.ac.uk . Entry Requirements A very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent). Closing date : 31 August 2025. Applications will be considered