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Field
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Futures Observatories and remote sensing products to evaluate model performance and diagnose deficiencies. Comparisons to model predictions using the Cold Regions Hydrological Model, Canadian Hydrological
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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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learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor crash predictions
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artificial intelligence (AI) has shown great promise in helping us identify patterns, make predictions, and drive innovation in manufacturing, understanding how some AI models make their predictions
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, to develop solutions for predicting risk in international-scale financial markets. The project is developing event-triggered artificial intelligence approaches that complement existing financial risk models
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logging into their existing Workday employee account. Position Summary: The Postdoctoral Fellow will conduct coupled physical-biogeochemical modeling to understand harmful algal blooms (HABs) in subtropical
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foundational methods for integrating single-cell and clinical transcriptomes; and train, fine-tune, and validate deep learning models using multi-omics and imaging data to predict clinical outcomes such as
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. Developing predictive models for precision oncology: We leverage large-scale multimodal datasets, including molecular profiling, clinical records, imaging, and longitudinal treatment histories, to develop
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Title: The characterization, mechanism, predictability, and impacts of the unprecedented 2023 Southeast Asia heatwave Project Introduction: In April and May 2023, Southeast Asia experienced
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, operations research, or a related field from a recognised university Strong expertise in applying large language models (LLMs) and AI techniques to prediction and optimization problems; familiarity with