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— Plasma diagnostics and experimental data analysis â— Plasma control and instability prediction â— Signal processing and data-driven analysis of plasma measurements Requirements: â
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to validate predictions made by their machine-learning models and drive wet-lab discoveries. The candidate may also have opportunities to work with research software engineers to translate their research
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needed. The candidate will have the opportunity to work directly with experimentalists to validate predictions and drive wet-lab discoveries, or to perform experiments themselves if they wish
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model biases, and identify sources of predictability. The project will involve; 1) rigorous interrogation of NOAA GFDL's CM4X simulation output with respect to coastal sea level variability and relevant
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should have a PhD degree (or expect to receive a PhD degree by June 15, 2026) in Psychology with demonstrated expertise in gender development. Applicants should have expertise in video coding (e.g
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, 2026) in Psychology with demonstrated expertise in gender development. Applicants should have expertise in video coding (e.g., Datavyu), longitudinal data analysis (e.g., RI-CLPM, growth-curve analysis