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exceptional opportunity for a well-qualified and talented individual to play a leading role in a large interdisciplinary and cross-institution project. AI.RDN+ is unique in its aim to be at the forefront
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on high-impact research in cardiometabolic disease, multimorbidity and ageing using large-scale genomic and longitudinal health data. They will play a key role in analyses across multiple cohorts and
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in epidemiology, statistics, demography, geography or other relevant quantitative science, with experience of analysing large, complex longitudinal data for environmental health research. Customer
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Are you passionate about developing numerical algorithms or high-performance software for scientific computing? Do you have expertise in numerical linear algebra or experience with large-scale
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boundaries of what robots can achieve. Our work spans diverse domains — from flying and grasping to driving and exploring — and we are the only group in the UK specialising in large-scale mobile autonomy, both
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academic and non-academic) and colleagues in corporate accounting and business sustainability. They will use ecological data in an interdisciplinary context to guide target-setting for large-scale
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remains robust, scalable, and efficient. Some of the duties include: Internal GPU Infrastructure Management: Oversee the setup, configuration, and maintenance of large-scale GPU clusters within our data
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Award at the University of Sheffield. We aim to develop retrieval-augmented, multi-modal, and explainable Large Language Models (LLMs) for healthcare fact-checking. Reliable healthcare information is
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, large-scale biomedical datasets, including UK Biobank and the CPRD. It will integrate complex longitudinal data—including harmonized EHRs, genetics, and the novel features captured by the LLM—to generate
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numerical algorithms or high-performance software for scientific computing? Do you have expertise in numerical linear algebra or experience with large-scale computing and want to broaden your skills? Would