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, characterisation and modelling to study and generate a new understanding of MoSS. These advances will have applications across multiple sectors, including pharmaceuticals, agrochemicals, and food industries
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problems that no single approach could solve alone. Multimodal foundation models Key words: multimodal learning, grounded and human-aligned fine-tuning, test-time adaptation You will join our research team
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. With this expanded capacity, the Institute will bring together multiple disciplines to produce impactful research helping to tackle the place-based inequalities experienced by rural, coastal, and remote
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to manage your own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. The post will be based in
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digital twins using prediction-powered inference to enhance reliability assessment; The theoretical analysis and algorithmic development of methods rooted in statistical learning theory, multiple hypothesis
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for enterprise and applied research in non-destructive testing (NDT), remote sensing, and related technologies. The postholder will: Develop and support research activities aligned with the Centre’s priorities
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will be involved in processing and analysing tissue collected from patients undergoing surgery, using whole genome sequencing, transcriptomics and proteomics. You will be heavily involved in designing
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administrative activities, this involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. About you You will hold a PhD/Dphil (or near to completion) in molecular biology
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multiple imaging modalities—initially concentrating on whole-body and abdominal MRI—using UK Biobank imaging data. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old
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have: Experience with AI and machine learning for medical images Experience working with data from multiple hospitals An interest in rare disease research. Additional information Informal enquiries