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paramount importance to multiple industrial fields. The presence of these oxide films alters the charge carrying characteristics when electro-magnetic fields are applied and can lead to localised electrical
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techniques that are useful for the modelling of many real-life systems. These include the development and analysis of stochastic models, computer simulations, differential equations, statistical inference
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cross-disciplinary in nature, building skills in molecular biology, bioinformatics, ecological mathematical modelling, algal physiology and cultivation. We are looking for a highly self-motivated
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to achieve efficient and proactive reconstruction of the printing process, enabling real-time in-situ monitoring of large-volume material deposition and 2) How to adaptively compensate for size-induced defect
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utilise the University of Birmingham’s smart campus building data in order to develop a template for such an assessment. In parallel, working the Met Office and their forecasting team, the project will
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fungal pathogens from the WHOs fungal priority pathogen list. In the second part of the PhD, you will build scalable, user-friendly bioinformatics pipelines for rapid genome analysis, tested using samples
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at the intersection of machine learning, bioinformatics, and computational pathology. Project Overview: Integrating histopathological imaging with omics (e.g., transcriptomics, genomics, proteomics) holds tremendous
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aims to develop a novel theoretical framework for nonlinear and robust control of dynamical systems from a phase perspective. You will have the opportunity to freely explore multiple research directions
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sensors, communicating over networks, to achieve complex functionalities, at both slow and fast timeframes, and at different safety criticalities. Future connectivity of the next generation of multiple
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physical laws, or an implicit form of extra data examples collected from physical simulations or their ML surrogates. In medical domains, patient data is typically distributed across multiple hospitals