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pathways interact to control germination. This project will provide training in bacterial physiology, infection biology, quantitative microscopy and computational data analysis — a diverse skill set that
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patients with lung / cardiac MRI and improve patient experience. Image computing support for pulmonary MRI applications. Development of hardware for neonatal / paediatric MR applications Contribute to and
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BBSRC Yorkshire Bioscience DLA Programme: From Flies to Fish: Exploring Neural Synchrony in Visual Processing School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof M
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, providing direct translational relevance. By combining state-of-the-art imaging with molecular and in vivo approaches, this project offers unique training in both mechanistic science and applied cancer
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training in a wide range of multidisciplinary skills including genetics, cell biology, live imaging, molecular biology, computational modelling, data analysis, scientific writing and communication as
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chromatography, FPLC etc Essential Application Have extensive experience of cryo-electron microscopy, image analysis, and a relevant computational background Essential Application Ability to manage an independent
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and network mechanisms that underlie this compensation. Using state-of-the-art tools (electrophysiology, calcium imaging, genetic tagging, and computational modelling) you will test two non-mutually
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, bioinformatics; Utrecht & Sheffield) High-resolution metabolomic analyses (LC-MS/MS, MALDI-timsTOF imaging; Sheffield) Computational integrative analysis of plant transcriptomic, metabolomic, and microbial
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How does a molecule walk? Computer simulations of molecular machines in action School of Mathematical and Physical Sciences PhD Research Project Directly Funded UK Students Prof Sarah Harris, Dr
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the strategies each individual employs. - To identify the neural circuits responsible for implementing these strategies by combining computational modelling with functional brain imaging (fMRI). - To determine how