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learning for cardiovascular digital twins and AI-enabled precision treatment. The postholder will develop patient-specific models that integrate multimodal clinical, physiological, imaging and sensor data
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biology, Biochemistry, Ecology, Medical Laboratory Science, and Forensic Science, and Masters and PhDs in Biology, Biochemistry and Molecular Biology, and Environmental Science. We measure our success by
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
to the development and validation of computational methods that integrate images with other multimodal data. The postdoctoral research associate will design, implement, and evaluate algorithms and models
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
to the development and validation of computational methods that integrate images with other multimodal data. The postdoctoral research associate will design, implement, and evaluate algorithms and models
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biological questions. Opportunities to Contribute Conduct research in the area of statistical modeling for single-cell multi-omic data. Perform clustering, differential expression analysis, predictive modeling
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learning models (e.g., multimodal AI, large language/world models) with specific finetuning for ELEVATE; designing geographically context-sensitive urban design recommendations that promote active mobility
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Are you interested in the empirical foundations of flood damage modelling and keen to translate that knowledge into practical strategies for insurers to reduce losses through early warning and
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Institute). The position is initially fixed term for 36 months, working on modelling aircraft engine icing and analysing experimental test results in collaboration with Rolls-Royce plc. In this post you will
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public health. In this role, you will develop and evaluate novel AI and machine learning methods using large-scale multimodal datasets, contributing to epidemiology-informed foundation models, predictive
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are particularly interested in how alterations to ENS macrophages in aging and neurodegenerative diseases contribute to disruption of gastrointestinal motility. We use well-established mouse models and human gut