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: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real-world data, with strong
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are looking for candidates to have the following skills and experience: Essential criteria PhD in spatial epidemiology, quantitative geography/remote sensing, ecology, statistics, engineering, quantitative
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bachelor’s or master’s degree (minimum 2:1). PhD qualified in relevant subject area*(e.g., epidemiology, population health, quantitative social science, statistics, psychology, developmental psychology
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lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a
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record of working collaboratively in interdisciplinary and international teams. Track record of doing research in diverse international settings. Proficiency in analytical and statistical software
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statistical and medical imaging analysis software Practical experience in a broad range of MRI techniques including CMR Downloading a copy of our Job Description Full details of the role and the skills
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functional neuroimaging or omics information, and/or temporal data as recorded using smartphones and/or wearable devices Excellent statistical and coding skills with demonstrated ability to apply and combine