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processing and analysis systems for optical and near-infrared mosaic imaging surveys (e.g. VISTA, VST); spectroscopic surveys (e.g. WEAVE, 4MOST); developing pipelines tailored for the analysis of various
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awarded in Chemistry or related area* Extensive experience in electrochemical characterisation of redox biological systems Experience in single-protein imaging in physiological conditions using scanning
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writing up projects. This role focuses on quantifying and genetically mapping variation in brain composition. You will exploit existing data on samples of hundreds of fish, using DICE-CT and advanced image
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post-registration academic provision and research in allied health and related disciplines, and substantial CQC-registered clinical and imaging services delivering high quality care for our staff
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breast cancer. In collaborating with cross-functional teams, including bioinformatician, computer scientists, AI engineers, biologists, and clinicians, you will validate AI-generated insights by comparing
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to be coupled to model-free analysis of molecular dynamics simulations. This includes work in the biochemical wet-lab as well as with prototype NMR spectroscopy and computational tasks. You have previous
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understanding and experience in the characterisation of image sensors or equivalent and proficiency with data collection and data processing. Good understanding of and demonstrable experience in writing bespoke
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the development of many new techniques, most notably protein crystallography, cryo-electron microscopy, DNA sequencing and monoclonal antibodies. The LMB has a clear goal of understanding biological processes
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About Us This is a key role within the Research Support Team of the School of Biomedical Engineering & Imaging Sciences. The post holder will be responsible to the School Research Manager, as part
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the process a new interdisciplinary field of study and a step-change towards the global goal of eliminating forced labour, modern slavery, and human trafficking. About the role You will bring