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modeling and risk assessment, and demonstrated experience in one or several of the following areas: Tropical cyclone dynamics and thermodynamics Statistical and/or machine learning approaches to weather
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. Together with a dynamic group of graduate students and researchers, we are evolving new methods and deepening our fundamental understanding of the world. Debanjan Chowdhury’s research involves programmable
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researchers to advance Systems Science and Engineering by modeling human behavior in complex dynamic networks addressing global challenges. Emphasizing Cyber-Human-Physical Systems, it tackles issues like
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spatial scales (e.g., FeederWatch, NestWatch) while creating dynamic educational content and web applications through which the public can better understand the natural world. The Cornell Lab is widely
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the rhizosphere in the context of drought stress, as well as disease dynamics in the phyllosphere. The candidate will evaluate plant phenotypes, sample plant tissues, perform DNA extractions and metabarcoding
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spatial scales (e.g., FeederWatch, NestWatch) while creating dynamic educational content and web applications through which the public can better understand the natural world. The Cornell Lab is widely
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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