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learning and AI models to imaging data [3]. The student will be tasked with the development of new models for the early detection of CIN cancers, applying bleeding edge computational methods and machine
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on understanding the spread and control of human infectious diseases using modelling and pathogen genomics. This is a short-term opportunity to apply machine learning methods to two key projects. First, you will
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the centre. Successful applicants will have (or be about to obtain) a PhD in computational biology or computer science, with knowledge of multimodal spatial omics data integration and machine learning
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Surveillance group. This role supports the Agency’s mission to protect public health by applying advanced data science and machine learning techniques to enhance vigilance and safety monitoring of medicines
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are monitored and evaluated. You will have knowledge of co-occurring difficulties common in specific learning differences e.g. mental health, as well as of specialist computer software/assistive technology
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intelligence experts to generate new projections of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet
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of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
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Role: Software Developer (Machine Learning for ALS Diagnosis) Grade and Salary: Grade 6 - £31,236 - £36,636 Contract Type: Full Time (1FTE), Fixed Term (until 27/02/2026) Location: Edinburgh Campus
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cutting-edge machine learning methods for spatial omics and for multi-modal data integration. The post-holder will also collaborate on the development of new computational methods to support the CoRE’s
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an expert in the use of advanced statistical inference and machine learning methods for the analysis of omics datasets. You will work with a team of data scientists in Manchester and Oxford to create tissue