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discipline (eg Statistics, Machine Learning, Biostatistics, AI, Engineering) with experience of developing and applying new methods. You will be able to develop research projects, with publications in peer
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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candidate will participate in research relating to the improvement of diagnosis and clinical risk stratification of patients with blood cancer using computational pathology, machine learning and spatial
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, distance learning MSc in Integrated Immunology. The course launched in the 2024-25 academic year, and is closely linked to our well-established full-time MSc in Integrated Immunology based in Oxford. This is
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comprehensive range of childcare services • Family leave schemes • Cycle and electric car loan schemes • Employee Assistance Programme • Membership to a variety of social and sports clubs
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that seek to understand the actions of biological molecular machines. This post is fixed term for 12 months with the possibility of an extension subject to funding What are you going to do? In this centrally
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computer vision software for quantitative microscopy, Deep Learning for Time-lapse Analysis (DeLTA). You will be responsible for implementing a graphical user interface, extend the software with real-time
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machine learning methods to improve the understanding, treatment and prevention of human disease. The successful candidate will develop novel statistical and machine learning algorithms to address key
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would be desirable to have knowledge and experience of applied artificial intelligence/machine learning and a chartered Statistician (CStat) qualification. This role is advertised at a grade 8; however
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of the Institute is to improve tools in, and knowledge from, genetics, genomics, molecular and single cell biology, spatial imaging, machine learning and novel methods of data handling to study the pattern