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to build ‘design-build-test-learn’ pipeline through computational design and experimental validation. About you PhD (or in the final stages of PhD submission) in computational biology, evolutionary genomics
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modelling. Developing deep mechanistic models for single-cell biological data. Building and maintaining reusable, open-source computational tools. Applying new methods to biological datasets and interpreting
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clinical, public health or industry partners to progress translational diagnostics and build collaborative networks. You may be a great fit if you: Hold a PhD in Microbiology, Molecular Biology, Biomedical
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more creative, successful, and happier at work. While we have more work to do, we are committed to building an inclusive workplace, a community that everyone feels a part of, which is safe, respectful
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pipeline. Building on the second phase, the postholder will then turn these strategies (perspective-multiplying, tension-preserving and process-reflecting) into a working participatory layer through which
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Systems. Approximately 80% of the fellow's time will be spent embedded with the SOZO team, building data pipelines and AI tools on SOZO's proprietary platform, with the remaining 20% spent with the Nunez
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following projects: Project #1 Title: Enhance Students' Interdisciplinary Learning through Large Language Model-Empowered Learning Analytics (MOE TRF 2/25 ZG) Project #2 Title: Building an Eco-system
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) Workforce Research Partnership. The SURGE team, led by senior researchers from UWE Bristol, is formed of co-applicants from 13 organisations, including a range of Universities and NHS institutions. We build
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is a collaborative, friendly, and dynamic department based in an award-winning building in Oxford. We host regular events and talks with well-known guest speakers – all of which are open to staff
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The AI Centre for Educational Technologies (AICET) is a research centre that is focused on developing technologies to improve learning. AICET collaborates with the Singapore Ministry of Education