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spanning multiple diseases. About the lab: The Glastonbury Lab is focused on developing and applying Machine Learning to problems in digital pathology and spatial transcriptomics. The group has a particular
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summaries (visualizations) using relevant computer software; Assisting with preparing grant applications to secure further funding for relevant projects; Helping establish new projects and research consortia
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(visualizations) using relevant computer software; Assisting with preparing grant applications to secure further funding for relevant projects; Helping establish new projects and research consortia relating
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mathematical models and refine parameters for single-cell, genomics, and metabolomics data analyses. While primarily focused on computational work, they may elect to acquire hands-on experience with
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learn mathematical modeling and quantitative analysis Ability to program in at least one of the following languages: Python, MATLAB, R or C Evidence of outreach, mentoring or community building. Required
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summaries (visualizations) using relevant computer software; Assisting with preparing grant applications to secure further funding for relevant projects; Helping establish new projects and research consortia
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health. HT is composed of five Centres: Neurogenomics, Computational Biology, Structural Biology, Genomics, and Health Data Science. The Centres work together to enable interdisciplinary research and to
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stronger theory/computation leanings and one with a strong background in molecular biology and experience with metabolomic data. What we offer 3-year Postdoctoral contract State-of-the-art platforms
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and phosphoproteomics with computational approaches, we will build a comprehensive molecular framework that links specific inflammatory pathways to clinical phenotypes. Our goal is to provide
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integrated approach, combining genomics, computational and structural biology and neuroscience, as well as data and decision sciences. HT is an interdisciplinary research institute, created and supported by