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human judgment and search information data, to improve forecasting. McAndrew has a long history of mathematical modeling of several pathogens (HPV, SARS-CoV-2, Mpox, influenza). Dr. String studies how and
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methods with optimization and decision-support models. Background in one or more of the following: time-series analysis, neural networks, forecasting, uncertainty quantification, sensitivity analysis
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involved in other collaborative research projects between Coley’s Conceptual Organization, Reasoning, and Education Laboratory (CORE Lab) and Helmuth’s Marine Ecological Forecasting, Ecophysiology, and
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on the candidate’s background, but may include: Developing new transportation modeling methods, including dynamic traffic assignment, AI-enhanced forecasting, optimization, or simulation-based analysis Building and
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also develop predictive models capable of characterising disease progression and forecasting individual outcomes in multiple sclerosis under different treatment exposures. Beyond your own research, you
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and planning models of electricity systems, power flow and transmission analysis, load forecasting, and climate impacts analysis. The postdoctoral scholar will be expected to lead or contribute to peer
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
numerous opportunities to work with other Insight Net centers and public health partners, as well as have a direct impact on the work of the CDC Center for Forecasting and Outbreak Analytics. Minimum
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models that use imaging data (e.g., CT, MRI, PET) to forecast response to adjuvant treatments. Build end-to-end imaging pipelines: data ingestion, curation, preprocessing, segmentation/annotation support