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to apply. The position will be under the direction of Professor Anthony Yeates and will primarily involve optimisation of a numerical magnetic field model for the global solar magnetic field against
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organoid and across organoids, enhancing our theoretical understanding of the emerging information content within the single organoid and across the array, through the development of analytical and modelling
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“LAHAR-MM: An integrated approach to LAhar Hazard Assessment and eaRly warning using geophysical Monitoring and numerical Modelling”. This project will investigate the characteristics and flow behaviour
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project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
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the model, its numerical implementation in a finite element code, and its validation against experimental data in collaboration with experimental collaborators. You will also engage with the hub activities
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mathematics or a related discipline, and possess sufficient specialist knowledge in the discipline of theoretical mechanics, mathematical modelling, and numerical simulations of PDE to work within established
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numerical simulations of PDE to work within established research programmes in battery modelling. Preference will be given to applicants with prior experience of optimisation, PyBaMM and/or electrochemistry
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of spray droplets by the action of wind over ocean waves (i.e. spume). In this role, you will develop numerical, experimental, and (ideally) theoretical models within the topic of surfactant-laden droplet
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to apply. The position will be under the direction of Professor Anthony Yeates and will primarily involve optimisation of a numerical magnetic field model for the global solar magnetic field against
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temporal properties: ultrabroadband supercontinua, intense sub-cycle field transients, and few-femtosecond ultraviolet pulses, among many others. We combine numerical modelling with experiments to study the