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to model and simulate building energy systems. Use of machine learning techniques to forecast cooling demand. Proven ability to analyse complex information, including large datasets, and summarise
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within biostatistics, Machine Learning and bioinformatics associated with dementia genetics and clinical data in large cohorts To contribute to the overall research performance of the School and University
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proven track record of significant external grant capture. Evidence of excellence in large-cohort teaching and curriculum development. Evidence of the ability to attract and supervise high-quality PhD
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-focused research; Are excited to support a collaborative project, and contribute to the wider objectives of a translational research team; Have research experience handling large human genetic data with
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a PhD or equivalent applied/professional experience. Proven teaching ability, ideally via a teaching qualification. Effective interpersonal skills to liaise with students and staff. Proven verbal and
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international academic experts, clinicians, charities and policymakers. In this role, you will: · Investigate the genetic epidemiology of ARFID using large scale population cohorts · Contribute to the overall