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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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statistics, biostatistics, or health data sciences together with an MSc in Public Health, Epidemiology, Statistics, Medical Statistics, Biostatistics, or a related field. Demonstrable advanced skills and
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(http://www.cvr.ac.uk/) and will contribute /make a leading contribution to a research programme capturing properties of viral genomes, proteins and host tissues in large computational, statistical, and
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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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host tissues in large computational, statistical, and evolutionary models. The role is based with Dr Liam Brierley’s research lab, whose mission is to use new computational methodologies to better
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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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experience in project management involving data management, health data science, medical statistics, epidemiology, or a related discipline. We would also welcome applications from people with advanced data
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physiological samples; preparing samples for analysis and carrying out DNA sequence analysis; collating, organising, and statistically and computationally analysing data with assistance and advice from
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technical background in mathematics and statistics, including Bayesian modelling is essential. You will also have demonstratable experience in Deep Neural Network based approaches, coding skills in Python and
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, PhD students, and/or project volunteers. It is essential that you have a PhD in Psychology (awarded or submitted/near completion) and have excellent statistical and data management skills, including