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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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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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methodologies and contribute ideas for new research projects. To be considered, you must hold a higher degree (e.g. MSc/PhD) in epidemiology, statistics or a related subject, have significant relevant experience
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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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statisticians, epidemiologists, oncologists, a surgeon, a radiotherapy physicist, and DPhil students. To be considered you will hold a PhD in statistics or a closely related field. You will have experience
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of the team. To be considered you will hold a PhD/DPhil in Demography, Sociology, Economics, Statistics, Public/Population Health, Geography, Global Affairs, or a related field, have substantial relevant
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Applications are invited for a Senior Machine Learning Scientist to join the Medical Statistics group, with a combination of research and teaching responsibilities. The successful applicant will
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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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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