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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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observations/models and from models of social dynamics. Motivating aims include the discovery and analysis of hidden large-scale patterns in data/models, elucidating mechanisms underlying the emergence
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prediction of regional climate and extremes using hybrid physics-AI models. About the project/work tasks There is a growing need for subseasonal-to-seasonal (S2S; 2 weeks to 12 months) predictions of regional
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foundation models for general manipulation based on vision-language-action models Develop learning from human demonstration (LfD) framework for vision-language-action models Develop multi-embodiment
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. The laboratory combines human tissues with genetically engineered and carcinogen-associated mouse models, lineage tracing, organoid systems, preclinical intervention studies, and state-of-the-art single-cell and
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, the Radionuclide Dispersion and Dose Assessment team specialises in modelling the migration and impact of radioactive pollutants through various pathways in Singapore and the surrounding region. The team is
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farmer livelihoods. We seek candidates with expertise in landscape ecology, agroecology, ecosystem services, conservation/restoration decision-making, agent-based modelling, or related fields. The PDF will
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diseased individuals Model how mutant and non-mutant tissues respond to non-pathogenic and pathogenic challenges. Work closely with experimental and clinical collaborators in a highly interdisciplinary
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 15 hours ago
algorithm performance. You will analyze assignment data from December 2025 to the present to identify workload distribution patterns and refine the algorithm using mathematical modeling, programming, and