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have access to raw eBird data (> 2 billion observations) and the ability to engage with the eBird Status and Trends modeling team. We will also provide access to high-performance computing resources and
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, operations research, or statistics). An ideal candidate would have proficient programming skills and demonstrated experience in computational modeling (particularly integrated assessment or power systems
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to engage with the eBird Status and Trends modeling team, access to high-performance computing resources, and opportunities to collaborate with researchers from other programs at Cornell University. In
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nationwide. The postdoctoral associate will apply statistical and epidemiological models to examine the mortality impacts of climate-related hazards and will translate results for policymakers and
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-to-impact pathway to answer research questions related to weather-related hazards to help communities nationwide. The postdoctoral associate will apply statistical and epidemiological models to examine the
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research. The research team has access to more than 100 generative AI models through Cornell’s AI gateway and high-performance computing resources via Empire AI. This position provides opportunities
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to generate novel products and characterize their properties and performance using instrumental and sensory analyses. To provide robust scientific insights, this position will also carry out modeling and
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characterize their properties and performance using instrumental and sensory analyses. To provide robust scientific insights, this position will also carry out modeling and validation of processes of utility
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Molecular Biology seeks a Postdoctoral Associate to join the research group of Professor Fenghua Hu. Details of Dr. Hu’s laboratory, ongoing research projects, and recent publications can be found at https
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Statistical and/or machine learning approaches to weather prediction Risk assessment and catastrophe modeling High-performance computing and large dataset manipulation The position involves close collaboration