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Field
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, reactor core, spent fuel, and fuel cycle applications through leadership in the development and analysis of SCALE and/or the Virtual Environment for Reactor Applications (VERA) simulations and in
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quantitative genetics and maize breeding. -Utilizes skills and knowledge in these and other areas to complete research projects leveraging new data extraction and analysis algorithms and connecting
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; inequality and social policy; the politics and economics of development; and race, racism, and public policy. The Cornell Jeb E. Brooks School of Public Policy and the Department of Economics jointly invite
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development for both data analysis and machine learning applications, including data modeling and algorithm development and implementation. Software design, development, and testing to support research and
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for Mathematics and Biology, which was funded through 2025 by the NSF–Simons MathBioSys initiative. Job Responsibilities Successful candidates are expected to develop an internationally recognized research program
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Details: Purpose Research and development for both data analysis and machine learning applications, including data modeling and algorithm development and implementation. Software design, development, and
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applications on AgroClimate.org: Specifically, this task will involve developing and implementing the necessary algorithms and interface modifications to add new features in the Climate Indicators tool
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and other external organizations, as well as publishing work in scientific journals and presenting work at conferences. Contribute to the first principles problem formulations, algorithm development
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problems. The Postdoctoral Associate will develop graph-theoretic analytics, design robust algorithms for communication and observation breakdowns, analyze adversarial settings, and develop beyond-worst-case
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basic and applied engineering research, workforce development and technology transition. Our collaborations with industry, academia and government provide cutting-edge solutions to global technical