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Field
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applied research on the economics of public health, mainly vaccination and mathematical modelling. VAXINFECTIO, including CHERMID, is involved in several European Commission funded projects and is
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model due to the mathematical challenge of solving the multiple partial differential equations simultaneously. With the support of the combined sponsorship from the university and industrial partner
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of this PhD position is to contribute to the design of models and mechanisms that enable risk-aware optimisation of grid capacity and facilitate market participation for large-scale ESS, providing solutions
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. Your job In this PhD position, you will conduct idealised experiments with an atmospheric model (OpenIFS), using concepts from the mathematical field of periodically forced dynamical systems. You will
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will lie on developing machine learning models for regression and reinforcement tasks to work with, enhance or replace established methods from computational engineering and computer simulation (such as
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AI models more interpretable and reliable by incorporating known constraints or physical properties. The successful applicants will be part of the Prob_AI hub and the School of Mathematics
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promise in understanding disease mechanisms and improving clinical decision-making. Recent studies suggest that generative models can uncover latent structures and improve classifier robustness across
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Research theme: Applied Mathematics, Continuum Mechanics, Liquid Crystals Application deadline: All year round The successful candidate will join the PhD programme of the Department of Mathematics
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms
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. ii) to use mathematical modelling methods to determine how on farm management practices can impact the carbon footprint of farm carbon assessment. iii) to contribute to the body of scientific