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We are seeking an enthusiastic Postdoctoral Research Assistant in Medical Statistics, with an interest in Artificial Intelligence (AI), to join the Computational Health Informatics (CHI) Laboratory
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We are seeking an enthusiastic Postdoctoral Research Assistant in Medical Statistics, with an interest in AI, to join the Computational Health Informatics (CHI) Laboratory, in the Institute
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statistical approaches to the study of the genetic architecture of human complex traits, with a focus on modelling statistical interactions between genetic mutations in DNA using Biobank-scale data
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searches, data set curation, and the statistical evaluation software used for limit setting or discovery. They will contribute to LZ operations and performance optimization. This will involve adapting
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imaging data, using conventional analyses and machine learning, to provide new evidence of pathogenicity of proteins and pathways across MSK diseases. You will provide bespoke statistical analysis plans
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of) a PhD in epidemiology, nutritional epidemiology, molecular epidemiology, medical statistics or other relevant subject. You will also have an excellent understanding of statistical analysis
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to work collaboratively across disciplinary boundaries is essential. The successful candidate must hold a relevant PhD/DPhil in information engineering, computer science, statistics or a commensurate
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/DPhil in relevant quantitative area, as well as knowledge of statistics and/or Bayesian learning, and necessary mathematical and computational skills to put these into practice. Skills in computer
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We invite applications for a full-time Postdoctoral Research Associate to work on the statistical properties of Denoising Diffusion Models (DDMs) project funded by EPSRC and led by Professor George
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An exciting opportunity has arisen for a Post-doctoral Research Fellow with the scientific expertise to undertake the integration and, statistical analysis of sleep and circadian rhythm data from