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of future generations. This Leverhulme doctoral programme will train a new generation of interdisciplinary scholars to develop a deeper, holistic view of the interactions between humans and freshwaters
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. The primary objective of this project is to investigate the transport, migration, and accumulation of precipitated particles in CO2–water–rock systems using computational fluid dynamics (CFD) coupled with
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Synovium-on-a-Chip, using 3D bioprinting, microfluidic engineering, and computational fluid dynamics (CFD), to create a dynamic, perfused system that mimics the human synovial environment. The platform will
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complex dynamics. In parallel, collective decision-making mechanisms (e.g., opinion dynamics) will be leveraged at the high level to coordinate the desired behaviours of multi-agent systems in response
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Applications are invited to undertake a PhD programme, in partnership with Airbus, to address key challenges in ensuring adoption of sustainable approaches to fuel additives for aviation use
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thermal resistance – potentially modifying the coupled electro-mechanical-fluid loading and causing fatigue and early failure. This PhD project will investigate how biofouling affects the hydrodynamic
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Application deadline: 01/12/2025 Research theme: Applied Mathematics, Continuum Mechanics, Nonlinear PDEs How to apply: https://uom.link/pgr-apply-2425 UK only due to funding restrictions. The
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individual-level responses, and the mechanisms underpinning these, is vital to identifying sensitive and resilient populations and species. Scaling from individuals to community-level responses is then
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the central challenge hindering this vision: the fundamental incompatibility between text-native LLMs and the operational reality of computer networks. Directly applying LLMs is impeded by three core technical
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mechanical, control or aerospace engineering, physics, mathematics, or other relevant engineering/science degree. The ideal candidate would have experience with computational modelling and control of dynamical