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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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: To create a world class visitor and learning experience across all V&A sites and collections. Focus and deepen the relevance of our collections to the UK creative and knowledge economy. Expand the V&A's
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support the process of sha red learning and devolpment across the Centre’s community partners. C4 will find and share the most effective community action strategies, providing invaluable insights for both
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-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological insights that drive our translational and fundamental research programmes. In
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embedded AI systems. They will demonstrate a strong track record of high-quality research in machine learning/AI and/or embedded systems, evidenced by publications in leading conferences and journals
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expected to pursue learning and research in their chosen field and publish the results. The College’s academic environment provides favourable conditions for research, which will be undertaken freely and
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to courses run by our Organisational Development & Professional Learning team. Access to on-site childcare, shopping discounts and travel schemes are also available. And much more!
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or machine learning to complex data. The successful candidate will have (or be nearing completion of) a PhD in a relevant field such as polymer science, materials engineering, or mechanical engineering
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spatial transcriptomics and imaging genomics projects, integrating bulk and single-cell RNA-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological
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Introduction As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill