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About the project: Developing a Theory of the Magnetic Fingerprint of Stress in Materials Supervisor: Dr Chris Patrick, University of Warwick In the development of sustainable materials and
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PhD Studentship: Bottom-up Decoding of Protein Conformational Landscapes: from Gas-phase to Solution
misfolding-related diseases such as Alzheimer's - but predicting how proteins fold in biological environments remains a key unmet challenge. This project brings together insights from efficient graph-driven
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backgrounds in engineering, applied mathematics, physics, computer science, or data science, and can be tailored to your interests, whether you prefer theory, modelling, or applied research. You will analyse
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generic compression tools exist, they often fail to fully exploit the specific redundancies found in 3D tomographic data. You will exploit your signal processing knowledge with statistical mathematical
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methods to accelerate the discovery of better catalysts that use less platinum and have improved long-term stability. By combining large-scale density functional theory with machine-learned interatomic
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an interdisciplinary supervision team of academics and industry partners, offering complementary expertise, spanning acoustics, nanocomposites, theory and modelling, polymer science, and acoustics for polymer
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or Mathematical Sciences. An MSc (merit or distinction) in a relevant subject would also be advantageous. Knowledge and experience with AI/Machine Learning in Python, preferably with images. Location flexibility
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) at the University of Warwick is an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time. Big
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innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time. Big Questions, Real Impact – From
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) at the University of Warwick is an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time. Big