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, acoustic detection and identification of insects allows us to expand the coverage of biodiversity monitoring in the UK. We are seeking a Postdoctoral Research Assistant to help refine existing machine
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We invite applications for the position of Postdoctoral Research Associate in Machine Learning/Machine Learning Scientist to join the Deep Medicine programme at the Nuffield Department of Women’s
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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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and teaching. We are currently seeking a talented and highly motivated postdoctoral researcher in multi-omics and machine learning. The postholder will be a key collaborative link between the Nuffield
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for privacy, security and data-richness. You should possess a PhD or DPhil (or near completion of) in Computer Vision or Machine Learning. You should have knowledge of approaches for areas related to efficient
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cases and controls); (ii) developing open-access databases and novel analysis pipelines (association study and machine learning) to characterize Campylobacter population structure and identify source
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including application of quantum optics in machine learning and robotics as well as linear-optical superresolution microscopy. Tasks will include collaborating on reports and journal articles, carrying our
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, machine learning, numerical analysis, optimization, scientific computing and their applications, to work within established research programmes. They will have excellent communication skills, including
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Machine Learning, within the Department of Engineering Science The full-time post is funded by the Innovation and Technology Commission and is fixed-term for up to 12 months, with the possibility
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and results, and represent the research network at meetings. Evidence of excellent longitudinal large dataset/cohort analytical experience and experience of machine learning methods (ML) and combining