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Qualifications The position requires a Ph.D. degree in Electrical and/or Computer Engineering, Optical or Biomedical Engineering, Physics, or a related field. Experience in building open set-up microscope systems
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processing, prepreg systems, resin transfer molding (RTM), vacuum-assisted resin transfer molding (VARTM), and other infusion or compression molding techniques. 2. Advanced Carbon-Carbon Composites for Extreme
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hydrologic connectivity metrics. Furthermore, the qualified candidate must possess advanced skills in geocoding, GIS, raster analysis/processing, and the management of large geospatial datasets. Familiarity
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modeling. The work will focus on application of state-of-the-art Data Mining/Natural Language Processing techniques for information from published literature, development of classical machine-learning models