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of Geosciences performing computationally intensive geodynamic models of the plate boundary system in the western United States. The Postdoctoral Associate will investigate the dynamics of the southwest
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Siemens Prisma Fit (and additional 3 T systems if desired) to collect structural and dynamic MRI data. * Quantitative analysis: develop pipelines for dynamic MRI and physiologic data; integrate multimodal
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sequence implementation: operate a 3 T Siemens Prisma Fit (and additional 3 T systems if desired) to collect structural and dynamic MRI data. ● Quantitative analysis: develop pipelines for dynamic MRI
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sequence implementation: operate a 3 T Siemens Prisma Fit (and additional 3 T systems if desired) to collect structural and dynamic MRI data. ● Quantitative analysis: develop pipelines for dynamic MRI
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signal processing and cloud microphysics and dynamics. Strong programming abilities (like Python), statistical knowledge, machine learning expertise, and data visualization skills are preferred. Brief
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theory and applications, instrumentation and signal processing and cloud microphysics and dynamics. Strong programming abilities (like Python), statistical knowledge, machine learning expertise, and data
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theory and applications, instrumentation and signal processing and cloud microphysics and dynamics. Strong programming abilities (like Python), statistical knowledge, machine learning expertise, and data
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Energy, Control Systems, or a related field. Strong background in power system stability analysis and nonlinear system dynamics. Experience with simulation tools such as PSCAD, MATLAB/Simulink, or PSS/E
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field. Strong background in power system stability analysis and nonlinear system dynamics. Experience with simulation tools such as PSCAD, MATLAB/Simulink, or PSS/E. Solid understanding of power
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Energy, Control Systems, or a related field. Strong background in power system stability analysis and nonlinear system dynamics. Experience with simulation tools such as PSCAD, MATLAB/Simulink, or PSS/E