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State University (MSU) team to develop new scalable algorithms inside of the Parthenon framework, an AMR performance portable framework based on Kokkos and C++ supported by Los Alamos National Laboratory
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to develop new scalable algorithms inside of the Parthenon framework, an AMR performance portable framework based on Kokkos and C++ supported by Los Alamos National Laboratory. At full strength there will be 7
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crop modeling for societal applications. A primary focus will be on the development and application of algorithms using radiometer and Synthetic Aperture Radar (SAR) observations from satellite missions
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of the physics applications and algorithms; Create detailed documentation for the developed applications, including user guides and technical specifications; Train users and operators on how to use the new tools
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) Improving irrigation model/algorithm to increase accuracy and prediction, 4) Conducting field research to enhance crop productivity and resiliency while minimizing environmental impacts, 5) Analyzing and
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researcher to join our dynamic animal science and artificial intelligence team. The candidate will develop novel algorithms that advance the use of computer vision in precision livestock farming (PLF) and
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. Good writing and presentation skills. Desired Qualifications Basic/Intermediate knowledge of, and some experience with mathematical modeling, optimization algorithms and software (e.g., CPLEX, Gurobi