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of this project is to develop new, scientifically valid applications of skeletal data extracted from video-based skeletal tracking for use in football. Project Objectives Compare kinematic descriptors of football
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that TEs fundamentally shape genome function and evolution by affecting gene expression, rewiring regulatory networks, and driving change in chromosome size and structure. In recent years, research
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therefore paramount, but traditional simulations are plagued by the same slow relaxational dynamics. Through collaboration across Engineering, Statistics and Chemistry, this project will develop state
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About the project: From Brittle to Ductile: Machine Learning 3D Fracture Simulations for Extreme Environments Supervisor: Prof, James Kermode, University of Warwick Develop cutting-edge machine
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on their interests student will have the opportunity to develop their own ideas to minimise the impact of microplastics and plastics within the digestate. Entry requirements At least UK equivalence Bachelors (Honours
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alternative. The project will scale-up selected method(s) to prepare evaluation samples. The project requires skills in continuous flow chemo- and biocatalytic methods, so, unusually, the project involves a
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(fungal genetics and infection biology) and Dr Fred Warren (gut microbiome and food digestion). The project includes a three-month industrial placement at ENOUGH, which is developing the proprietary
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expertise. We link fundamental materials research with manufacturing to develop novel technologies and improve the science base of manufacturing research. The Through-life Engineering Services (TES) Centre
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the deadline. The project is to contribute to a major Ministry of Defence (MOD) research programme intended to develop generation after next technologies for applications in defence and security, and this
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developing the competences of the IML group within prediction of T and B cell immunogenicity and immunoinformatics in general. You will work with nearby bioinformatics, postdocs and PhD students working