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existing models struggle to capture this complex, multiscale phenomenon efficiently. This project will develop a novel, physics-informed surrogate model using Bayesian machine learning to predict gas
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candidates will have: A solid grounding in mathematical or physical sciences Interest in dynamical systems and complex system behaviour Some coding experience (Python and/or Julia) Enthusiasm for working
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capable of transforming these different textures into a bolus that is safe to swallow. As we chew, bite-size chunks are reduced to smaller particles and mixed with saliva through complex and dynamic oral
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, or defect evolution modify electrical transport properties. While magnetic permeability effects will not be excluded where relevant, the central aim is to establish a robust, physically grounded conductivity
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. Mathematics is the key to unlocking innovation and addressing these complexities. They all require new, predictive models that can link the processing and microstructure of formulated products to their final
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Application deadline: 30.09.26 Research theme: Applied Mathematics, Thermal-Fluid-Dynamics, Multi-Physics How to apply: https://uom.link/pgr-apply-2425 UK only This 4 year PhD project is fully
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Start date: February 2027 King’s College London’s Leverhulme Centre for Research on Slavery in War is pleased to announce the availability of a fully funded AHRC doctoral studentship from October
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the oscillation and decay of waves in systems where energy can escape to infinity, replacing eigenvalues and eigenfunction expansions in non-compact domains. The consideration of analytic or Gevrey regularity in
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Start date: February 2027 King’s College London’s Leverhulme Centre for Research on Slavery in War is pleased to announce the availability of a fully funded AHRC doctoral studentship from October
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The Rosalind Franklin Institute (The Franklin) is the national institute for technology development for the life sciences in the UK – funded by the government through UK Research and Innovation