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We are looking for a statistical geneticist to join the Cardiovascular Epidemiology Unit (CEU), Department of Public Health and Primary Care at University of Cambridge. The postholder will be
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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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We are looking for a statistical geneticist to join the Cardiovascular Epidemiology Unit (CEU), Department of Public Health and Primary Care at University of Cambridge. The postholder will be
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for the principled statistical analysis of large-scale complex networks. Data may be drawn from a variety of domains, such as epidemiology, ecology, neuroscience, economics, and the social sciences. Likewise, methods
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and students; planning and organising research resources and workshops. Successful applicants will have or be near to completing a PhD in computer science, information engineering, statistics, chemistry
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and students; planning and organising research resources and workshops. Successful applicants will have or be near to completing a PhD in computer science, information engineering, statistics, chemistry
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endometrial cancer risk prediction models. Applicants should have a Master's or PhD in bioinformatics, statistics or a related scientific discipline or have an equivalent level of professional qualifications
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HR7 Further Information document for the Key Responsibilities of the role. The ideal candidate should possess (or be close to obtaining) a PhD in Computer Science, Statistics, Applied Mathematics
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learning, computational neuroscience, statistical machine learning and sensorimotor control. The work on machine learning includes both theory and applications to vision, information retrieval and