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Field
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-fidelity industrial simulation. Engineering applications include Formula 1, turbomachinery and nuclear fusion. These problems exhibit complex geometries and challenging time-varying physics which require
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rivers are dynamic systems transporting sediment, wood, and nutrients. This disconnect can lead to underperforming flood assets, where sediment accumulation, blockage, or erosion reduces efficiency and
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will build on ongoing work from the group in the design, synthesis and study of functional organic macrocycles and molecular capsules and their use primarily in catalysis, but also molecular recognition
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and night-time low temperatures. There is a need to improve the way the stratified boundary layer is represented (parametrized) in these simulations and also interrogate the models with high-quality
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Data-driven predictions of dynamical systems are used in many applications, ranging from the design of products and materials to weather and climate predictions. Mathematical concepts from geometry
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are reversed are still unclear but partly involve inhibition by MRFAP1, one of three closely related but largely unstudied proteins expressed in human cells. These molecules function as molecular ‘shape-shifters
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temporal patterns across different neurons in the neocortical circuit and use them for closed-loop brain stimulation. By examining how these spatiotemporal dynamics relate to behaviour, you will develop new
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The aim is to discover and test candidate molecular mechanisms underlying central nervous system (CNS) (ie spinal cord and brain) regeneration. The human CNS does not regenerate after injury
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discover and test candidate molecular and cellular mechanisms underlying the switch between structural brain plasticity and degeneration in response to experience, and how this in turn modifies behaviour
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melanogaster. This project will take the next big step: moving from finding sexually antagonistic genes to uncovering what makes them special, how they affect fitness and life history traits, and the molecular