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of advanced statistical methodologies, and supporting research on high performance and cloud computing. The successful candidate will also be expected to offer 2-3 advanced technical or methodological workshops
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computing and/or cloud computing; familiarity with Earth system models through model development, model execution, and/or model performance diagnoses; applied mathematics methods such as machine learning
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may include software package creation and maintenance, data engineering, development and/or implementation of advanced statistical methodologies, and supporting research on high performance and cloud
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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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systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology, financial mathematics and mathematical approaches to signal analysis
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opportunities are subject to sufficient course enrollment and the approval of the Dean of the Faculty. Postdoctoral track requirements: *Both CITP and Princeton University place high value on in-person