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also develop predictive models capable of characterising disease progression and forecasting individual outcomes in multiple sclerosis under different treatment exposures. You will contribute to delivery
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modelling, advanced AI algorithms, and decision-support tool development for various hydrogen technologies-based energy systems. Responsibilities will include programming, analysing and interpreting data, and
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multiple sclerosis under different treatment exposures. You will contribute to delivery of collaborative projects, working closely with clinicians, imaging experts, and computational scientists across
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to determine statistical occurrence of different crystallographic defects. Processing of the multimodal data will allow the appointee to correlate statistics on defects identified at the atomic level with
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system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical
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institutions to investigate how different departments within organisations perceive and manage this tension, identify best practices in embedding consumer well-being into corporate culture and governance, and
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colorectal cancer screening and treatment. They will contribute to the design of AI algorithms for polyp detection, tissue characterization, and visual guidance of robotic intervention. This is a full time
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digital research information infrastructures, and the metadata and analytics they provide, feed into different national, organizational, and disciplinary research evaluation processes and with what effects
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difference, simply speak to our alumni, students, and award-winning staff. Because for us education isn’t about how much you take in. It’s about what you take out into the world. Inspiring minds and changing
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working opportunities which benefit the individual and University. We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each