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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior research scientist to develop hybrid models for sea ice that combine coupled climate models and machine
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, computational fluid dynamics and material science, dynamical systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology, financial mathematics
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independently while working well in an interactive and dynamic setting. This position is subject to the University's background check policy. The work location for this position is in-person on campus
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dynamics, and materials chemistry. Strong Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus.Candidates should apply at
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before the deadline so that references can be submitted in a timely manner. This position is subject to the University's background check policy. The work location for this position is in-person on campus
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submitted by November 7, 2025 11:59 p.m. EST. Please complete your application well before the deadline so that references can be submitted in a timely manner. This position is subject to the University's
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dynamics, and materials chemistry. Strong Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus.Candidates should apply at
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, November 3, 2025. Complete your application well before the deadline so that references can be submitted in a timely manner. This position is subject to the University's background check policy. We
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dynamics, and materials chemistry. Strong Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus.Candidates should apply at
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differential equations, computational fluid dynamics, material science, dynamical systems, numerical analysis, stochastic analysis, graph theory and applications, mathematical biology, financial mathematics