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Motor Neuron Disease (MND). The aim is to explore the best way to integrate a personalised care prediction model into clinical services to enhance shared decision-making about future care provisions
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quantifying cell shape using confocal microscopy and advanced image analysis tools, then (working with colleagues at JIC, Norwich) creating computational models to assess the functionality of these novel
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cancer-associated ER fusions differ in their ability to bind DNA and regulate chromatin. The resulting data will be integrated with genomic and structural information to build mechanistic models of ER
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escalating to the Head of Product as appropriate. Lead an agile delivery team, providing coaching and mentor support to enable and empower the team to success; be a role model of agile delivery best practice
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, rather than more productive investments, has contributed to this disconnect. Your role will be to contribute to the project's microeconomic aspect. You will empirically model the connection between
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biorefinery. Purification of products from biomanufacturing requires selection of the best-fit separation unit operations, e.g., choosing between distillation vs membrane separation and the innovation
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development. This international and interdisciplinary project brings together expertise in genetics, developmental biology and microscopy with physics and biomechanical modelling to understand how intricately
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flagship Open Multimodal AI Benchmark (OMAIB) initiative. OMAIB develops open, community-driven datasets, evaluation protocols, baseline models, and deployment-centric tasks to accelerate multimodal AI
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within our team to establish new brain-invasive orthotopic patient-derived xenograft (PDX) models of glioblastoma using cells from within our within the Sheffield Living Biobank of patient-derived primary
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) and supply chain sustainability modelling. The successful candidate will work with Prof Lenny Koh (Deputy Director of IGNITE) to deliver DA1 (Aerospace: Supply chain resilience). DA1 aims todetermine