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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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://www.bennettinstitute.cam.ac.uk/research/research-projects/research-culture/ ). We are focussing on narrative CVs; the relationship between early career researchers and their PIs; and short-term research contracts. ARRC combines
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environment and collaborate with experts on learning and attention in rodents and humans, experts on learning and attention impairments in mental disorders, and computational neuroscientists. Applicants should
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. The studentship is funded by the Health Data Research (HDR) UK Molecules to Health Records (MTHR) grant at the University of Cambridge. Background: The expanding wealth of biomolecular and health data in human