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Field
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We’re seeking for motivated candidates that are interested in developing computer models of the composite human neuro-muscular system that combine detailed musculoskeletal geometries, muscle-tendon
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a Research Infrastructure? No Offer Description Synopsis. As part of the research project entitled ‘SHIFT - How does a shift in forest tree species composition affect soil organic carbon storage in
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key NDT techniques used to inspect metallic and composite materials. These methods generate large 3D datasets that can be difficult for human experts to analyse manually, increasing the risk of missed
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are conserved across species, including in the mouse, making the aged mouse model a useful means to understand and identify the molecular mechanisms that drive this process (doi: 10.1038/s41586-024-07238-x
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
Thermography. This raw dataset is needed to be processed and annotated to train supervised and unsupervised AI models. The research will aim to develop deep learning algorithms for damage classification
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combining physical models, sensor data, computational methods, and damage and fracture mechanics concepts to create a virtual replica of the composite tank, enabling predictive maintenance, lifetime
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the properties of composite, biological networks which consist of stiff filaments and liquid inclusions which arise from liquid-liquid phase separation. We will use a multi-scale approach bridging scales from
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, and single-asperity scratching. Correlate composition, process, and performance to establish structure-property-function relationships. Collaborate with Canon Production Printing to translate insights
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for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
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Learning heat: Physics-Informed Fourier Neural Operators for High-Fidelity Thermal NDE Modern non-destructive evaluation (NDE) increasingly relies on AI models that can reason with physics, scale