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suspensions and fiber-reinforced feedstocks optimized for 3D printing and continuous fiber processing. Exploration of new material compositions, interpenetrating networks, and hybrid matrices to achieve
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, unsupervised, and deep learning. Proficiency in appropriate model selection; simpler or complex models, depending on the data. Ability to work effectively within diverse, multidisciplinary teams of faculty
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method development & optimization: Proven ability to develop, optimize, and validate LC-MS/MS methods for complex sample types. Expertise in extracting proteins, metabolites, and lipids and performing nano
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Enhancement (SCALE) network to train the workforce for microelectronics. Other significant external funding agencies include NNSA, DOE, NSA, Sandia National Labs, Intel, DARPA, and NSF. The ECE department