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Applications are invited for a Machine Learning (ML) Scientist, to work with a team working with Professor Sir Aziz Sheikh on a research programme on the HDR UK Inflammation and Immunity Driver (DP2
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experiences in one place, Oxford Saïd Online will innovate learning experiences over the coming years to offer a comprehensive knowledge tool for practitioners who want to broaden perspectives and make informed
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) infrastructure supporting cutting-edge AI, computer vision, and multimodal learning research. The successful candidate will take a leading role in the design, deployment, maintenance, and optimisation of large
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with hallmark PD pathology, using machine-learning approaches to quantify neuroinflammatory and protein pathologies and spatial transcriptomics to characterise their molecular and spatial relationships
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critical evaluation skills. You will have knowledge of AI and Machine Learning gained through study or professional experience, alongside strong digital, communication and organisational skills. You will be
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data analysis skills, with proficiency using machine learning methods. You should be willing to learn and apply both bioinformatics and machine learning methods to curate and compare disparate data sets
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analytical and problem-solving skills, a broad understanding of IT systems, and the ability to learn and adapt to new technologies quickly. Experience with asset management, including ordering and stock
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pattern is across three days, with the exact hours and days to be agreed. About You You will be highly computer literate, with experience of common software applications such as Microsoft Word, Excel
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student progression and admissions, maintain postgraduate virtual learning environments and student communications, and assist with postgraduate events including induction week and MSc in Clinical Trials
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bioinformatics analysis of omics datasets, including single-cell and spatial multi-omics analysis. You will have demonstrable experience of applying machine learning/AI methods as well as experience and knowledge