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propagation of alloy degradation. This project provides a unique opportunity to combine pioneering academic research with industrial experience. In addition to the access to state-of-the-art facilities
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and motivated PhD student to join an interdisciplinary project that combines computational biology, spatial transcriptomics, and tumor modeling to understand how the aggressive brain tumor glioblastoma
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Networks, and ICT Services & Applications. Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas. Additionally, this industrial project will be conducted in
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Worldwide Prof David Wagg Application Deadline: 30 April 2025 Details We are seeking an enthusiastic and self-motivated PhD student to join a collaborative project funded by EPSRC, working on an innovative
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animals, while Prof Durbin's works on computational genomics and large scale genome science, including the development of new algorithms and statistical methods to study genome evolution. Moving forward
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-supervised by Dr John Low in the Energy Innovation Centre in the Warwick Manufacturing Group (WMG), and Prof. Richard Walton in the Department of Chemistry (Materials and Analytical Science) in collaboration
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. Work on this project will require research into novel methods that extract information from text that can be combined with the acoustic training data to inform flexible neural network structures and
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optimize the impacts of food production, processing and consumption on both the environment and nutritional health, combining nutritional and health sciences with life cycle assessment and absolute
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of Homo sapiens in southern Africa between 100,000 and 50,000 years ago. Its main goal is to unravel where, when, and why early humans started to think and behave the way we do today, by combining
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data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional