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scientifically literate public. Position Summary: The individual in this position will contribute to the development of next-generation ensemble (or probabilistic) numerical weather prediction systems. They
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, and computational workflows, including the use of high-performance computing resources as appropriate. Decision Making: Develop and implement numerical models describing laser-induced plasma formation
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on developing statistical methods to study nonlinear and context-dependent genetic regulation in Alzheimer’s disease and the aging brain, as well as related research in statistical genetics and
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federal facility, and requires the ability to pass a tier one federal background check for building and high-performance computing (HPC) access. An onsite presence at the laboratory in Boulder, CO is
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ability to develop and apply Geographic Information Systems (GIS) methods and tools. Demonstrated proficiency with scientific computing and programming languages, such as MATLAB, R, Python, or similar
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fleet of edge computing devices, cloud infrastructure, and data pipelines. Works independently and exercises significant judgment on complex projects, sets technical direction, and mentors’ junior
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wildlife monitoring data analysis, spatial statistical modeling, and/or processing large datasets. Demonstrated experience developing and applying Geographic Information Systems (GIS) methods and tools
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://energy.colostate.edu/ https://metec.colostate.edu/ Position Summary: This position will collaborate with other research scientists and teams of research associates and also lead the development of test methods and
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one or more of the following subject areas: AI, machine learning, analytics, cloud computing, computer programming, cybersecurity, data management, ERP, networking, project management, information
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modeling, number theory, scientific computing, and topology, as well as applications of these areas. The Department of Mathematics has around 150 undergraduate majors and 73 graduate students, with