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remotely). You will have or be close to the completion of a PhD or equivalent in computational sciences (Mathematics, Engineering, Computer Science, Statistics), together with relevant research experience
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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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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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scanner. You will have or be close to the completion of a PhD in Neuroscience, Engineering, Physics, Maths, Computer Science or relevant area. Experience in data analysis, particularly using machine
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imaging data and identify & troubleshoot technical or scientific problems. You will have a Doctoral (PhD) degree or equivalent, or be near completion, in Biostatistics, Mathematics, Statistics, Statistical
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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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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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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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biological sources (i.e. cell cultures, including iPSCs and other relevant tissues and specimens). It is essential that you hold a PhD/DPhil (or close to completion) in biology, chemical biology, pharmacology
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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