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. You will conduct statistical analyses of genetically informative data sets measured for phenotypes of direct or indirect relevance to psychiatry. You will have or be close to the completion of a PhD in
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appointed at Grade 6 (Research Associate) we are looking for someone educated to PhD level in a mathematical science or with substantial applied statistical methods (or with equivalent relevant work
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are enthusiastic about investigating and engineering real-world solutions to pressing data-centric problems and to do so in a way that pulls on rigorous Bayesian statistics and scalable computational resources
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are enthusiastic about investigating and engineering real-world solutions to pressing data-centric problems and to do so in a way that pulls on rigorous Bayesian statistics and scalable computational resources
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policies. This PhD studentship aims to explore mechanisms underlying positive deviance among people of African and Caribbean origin in the UK using innovative mixed methods i.e. through quantitative analysis
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reports, as well as some limited administrative duties and supervision of more junior researchers and students. The project would suit candidates with a PhD in neuroimaging, medical imaging, biomedical
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contract. About you: Essential criteria 1. PhD in a relevant field (e.g., neuroscience, neuroimaging, engineering, mathematics, statistics, computer science, physics) 2. Substantial research
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computational background and significant (>5 years) experience of using bioinformatics and statistical approaches to analyse and interpret whole transcriptome data generated from RNA sequencing and integrate
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to improve kidney health in people living with heart failure. Applications are welcome from candidates with a PhD in health economics or in a related discipline. The successful candidate will have
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experience: Essential criteria An undergraduate degree in a science or health related field A PhD in applied science to healthcare or clinical research. Evidence of experimental protocol design for real-world