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of large numbers of atoms, coarse-graining approaches seek to reduce of the number of degrees of freedom in a material model, thereby reducing computational costs and the environmental impact while
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Sentinel-1, enable rapid large-scale flood detection but face challenges in generalisation, dependence on labelled data, and representation of hydrological processes. Existing UK operational systems combine
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for the creation of cellular machines. These synthetic designer de novo chromosomes allow us to address fundamental biological questions, systematically re-engineer genetic components, incorporate large-scale
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a range of structural and spectroscopic studies, with a view to better understanding how this gene cluster can support large electrical currents. The student will join an active lab with considerable
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for biological research. Successful candidates will have an interest in high-resolution imaging, phase retrieval, image reconstruction, inverse problems, and scalable computational approaches for analysing large
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industrial process data Large-scale polymer production systems Operational constraints and engineering decision-making Direct pathways for translation of research into industrial practice The project is
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of experimental data from literature and project partners will aid towards model validation. About HetSys: Harnessing Data, Modelling and Simulation for Real‑World Impact HetSys (Centre for Doctoral Training in
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generation and pressure evolution. Our approach will combine physical insight with data-driven techniques and uncertainty quantification, offering fast, reliable predictions and contributing to safer, longer
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a result, large regions of materials processing — including high-temperature steel processing, non-ferromagnetic alloys, and multi-material systems — remain poorly accessible to existing EM techniques
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optimisation and multi-fidelity active learning, creating a practical route to discovering new molecules for optoelectronic devices. About HetSys: Harnessing Data, Modelling and Simulation for Real‑World Impact