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from the vasculature of human kidneys. With this studentship we aim to explore three key concepts with the aim of bridging this basic research to a stronger position for clinical application: Assessing
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from the vasculature of human kidneys. With this studentship we aim to explore three key concepts with the aim of bridging this basic research to a stronger position for clinical application: Assessing
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scheme, please see the further details documents linked at the foot of this advert. The University of Cambridge and its Museum of Zoology are pleased to announce a fully-funded collaborative doctoral
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) at the Department of Pathology (Addenbrooke's campus). Our research is focused on investigating human intestinal pathogens that progress to infections of the central nervous system. We are a strong and diverse team
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interfaces that can facilitate effective interactions between humans and AI in the research context. This project could explore different aspects of human-machine collaboration for science, including
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or behavioural data Ideating, designing and conducting neuroimaging/behavioural studies on statistical or aversive learning, using computational and neuroimaging research methods in humans Dissemination
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or behavioural data Ideating, designing and conducting neuroimaging/behavioural studies on statistical or aversive learning, using computational and neuroimaging research methods in humans Dissemination
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including the skin, aerodigestive tract and genitourinary tract. Despite different SCCs being associated with at least one carcinogenic insult (e.g. tobacco, human papillomavirus infection and UV damage
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on developing methods for cell-specific EV detection and isolation from complex biofluids, such as human blood or urine. The investigation will capitalise on profiling of kidney, liver and cholangiocyte organoids
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on developing methods for cell-specific EV detection and isolation from complex biofluids, such as human blood or urine. The investigation will capitalise on profiling of kidney, liver and cholangiocyte organoids