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technical progress reports to research sponsors. -Ensures program has sufficient and efficient computing capabilities (high performance research computing, workstations, software, network attached
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with advanced characterization tools (e.g., PPMS, XRD, SQUID magnetometry, optical spectroscopy, or scanning probe microscopy). Experience with high-performance computing or cloud-based machine
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approaches for high-dimensional dependent data, and data sketching approaches for massive data. Opportunities to Contribute: Develop statistical/machine learning methodology for multi-modal imaging data
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coordination with the PI and project objectives. Process, clean, curate, align, and analyze high-resolution image and process datasets; develop reproducible pipelines for data quality assessment
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capabilities. Evaluate experimental results against defined research objectives, technical requirements, and performance measures. Identify technical challenges, research gaps, and opportunities for