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and prepare for readiness during operational tasks. The team is further exploring novel AI method developments, including applied mathematical and machine learning solutions for real-time use. Why
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scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology
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technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and
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pursuing a degree or have a degree in a science, technology, engineering or mathematics (STEM) discipline, public policy, law or other fields that supports the DOE mission. Point of Contact Renee Eligibility
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. Qualifications The ideal candidate should have a strong background in the mathematical and computational aspects of modeling subsurface and surface flows. Knowledge in machine learning, data assimilation, and
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be pursuing an associate's, bachelor's or master's degree in earth and geosciences, engineering, environmental and marine sciences, life health and medical sciences, mathematics and statistics, physics
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) Engineering (27 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (45 ) Mathematics and Statistics (10 ) Other Non-Science & Engineering (13 ) Physics (16 ) Science
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master’s or Ph.D. in computer science, civil or ocean engineering, data science, applied mathematics, oceanography, or a related field. They should have experience or coursework in numerical wave modeling
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) Engineering (27 ) Environmental and Marine Sciences (14 ) Mathematics and Statistics (11 ) Physics (16 ) Science & Engineering-related (1 ) Social and Behavioral Sciences (10 ) Veteran Status
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, Computer Science, Data Science, Biometrics and Biostatistics, Computational Mathematics or other eligible discipline. Degree must have been received within five years of the appointment start date. U.S. military