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prioritized experience replay, improve robustness by modelling the full reward distribution rather than its expectation, making them suitable for environments with high stochasticity and tariff variability
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Are you interested in helping to solve a major global problem that is having widespread effects on our wildlife and on animal welfare? The Mammalian Behaviour & Evolution Group seek an individual to join a BBSRC-funded project aiming to reduce the widespread negative impacts of rodent pest...
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, this interdisciplinary project will couple mathematical models of earthworm movement, stochastic models of the measurement process and designed experiments to improve earthworm detection. Project This project will work
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, an important concept within physics, chemistry and biology, but one that lacks a full mathematical understanding. This project will tackle questions relating to universality within the KPZ class of models. Some
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preferences, enabling proactive and realistic infrastructure planning. The successful applicant will join Dr Elina Spyrou's research group, which currently includes three PhD students and a postdoctoral
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of biomechanical analysis into a new era. Considering the size of the pitch along with the stochastic nature of football there are questions relating to the accuracy of this kinematic data, which forms the basis
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this project, you will be part of the Institute for Infrastructure and Environment. You will join a vibrant community of PhD students, postdoctoral research associates and academics. Please note that the advert
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. The student will be integrated into the Mechanics of Materials Lab and will have the opportunity to interact on a daily basis with other PhD students and postdoctoral researchers working on similar topics
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Type of award Studentship Managing department Department of Mathematics Value This fully-funded studentship includes: Tuition fees at home or international rate Annual maintenance stipend equivalent
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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