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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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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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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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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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pathways. You will also have the freedom to determine your own research approaches within this broad framework. You will have or be close to the completion of a PhD in statistical/computational genomics with
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completion of a project. You will hold a PhD degree (or near completion) in a discipline of direct relevance to computational genomics and/or statistical genetics, have the ability to deliver high-quality
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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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relevant PhD/DPhil (or near completion*) in Computer Vision or Machine Learning. You should have a strong publication record at the principal international computer vision and machine learning conferences
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statistical analyses to test specific hypotheses. You will hold a PhD in microbial ecology or in a related subject and have demonstrable experience in conducting fieldwork on the Skokholm wild house mouse