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of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs
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high-throughput screening using genetic and imaging tools. Apply molecular and cellular assays to study inflammatory processes. Analyse integrative omics datasets using bioinformatics and machine
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Annual tax-free stipend of £22,780/year for 4 years, full coverage of tuition fees for UK/Home Students, plus training/travel funds Placed On: We invite applications for a fully funded PhD research
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global change, damaging critical infrastructure resilience. This project is part of the prestigious Loughborough University Vice Chancellor’s PhD Cluster – RAINDROP (Resilient eArthwork INfrastructure
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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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collaboration with Industry to develop a prototype gas adsorption rig for CO2 capture applications. About the role The post holder will develop a prototype adsorption-based system for CO2 capture. The candidate
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to process large (tens to thousands of TB) optical imaging datasets. • Develop, apply and deploy data handling pipelines designed to process multimodal imaging data with dozens of imaging channels
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research. We study the fundamental molecular, cellular, and physiological processes that underlie normal and abnormal cardiovascular and metabolic function, and drive the translation of this strong basic
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high-throughput screening using genetic and imaging tools. Apply molecular and cellular assays to study inflammatory processes. Analyse integrative omics datasets using bioinformatics and machine
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the application process, please contact Biosciences staffing at . About you You must have a PhD (or be studying towards it) in Medical Physics or Bioengineering, Computational Neuroscience, Applied