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for understanding natural magmatic processes on earth & other planetary bodies. Neutron diffraction is a powerful technique for studying the atomic scale structure of these materials, but the current technology to
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Exciting Fully Funded PhD Opportunity: Drive Innovation in Hydrogen Technology. Project: High-Pressure Hydrogen Generation, Storage, and Use - Shape the Future of Clean Energy with Us! School of
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, biochemical and molecular biological approaches. You will develop the necessary skills to derive experimental data that could identify important roles for these molecules in glioma progression and that may
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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience
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and data analysis. You will be working at the interface of chemistry and chemical engineering to improve the enrichment process. This will involve investigating different extractants, solvents, and
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with possible supported secondment in company during the study. The student should have a strong interest in mathematical science, software development, data driven modelling, structural mechanics and
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rhabdomyosarcoma), fragmented data from multiple small series has hampered global elementary understanding of metastasis biology and - therefore – targeted therapy development. It remains unresolved – and is
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, breaking etc. This makes traditional methods particularly difficult to generalise based on all these driving factors, whereas this PhD project takes a novel and explainable data-driven approach – equation
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. Boiling is a technology central to both fusion and fission nuclear reactors, also including thermal management of several reactor components. The aim of these simulations is to generate data that can be
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entrants without historical data for their land use technology differently compared to those with established practices? This interdisciplinary project offers the chance to contribute to multiple fields