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, robotics), cyberinfrastructure (e.g., databases, high-performance computing, collaboration tools), and humans (e.g., scientists, engineers, students, managers). The recent interest in Explainable AI (XAI
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Robotic Systems for Smart Manufacturing Program is developing the measurement science needed to enable manufacturers to characterize and understand the performance of robotics systems within
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This program involves multimodal imaging techniques that use magnetic resonance imaging (MRI) as either a base or as a complimentary technique. Multimodal imaging combines information from two or more imaging
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balance between the choices of mathematical approximation, computer architecture, data structures, and other factors-a balance crucial to the solution of many applications-driven problems. key words
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polymer networks, with well-defined chemistry and architecture, are needed to carry out quantitative measurements to establish design principles for programmable disentanglement or dissociation of network
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conformation and dynamics in the one-phase region of oppositely charged polyelectrolyte solutions. Systems under investigation include polyelectrolytes of novel chain architecture (multi-arm star and block
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to achieving these goals. In particular, the development of novel neural network architectures capable of synthesizing data from both sequencing (genomics, transcriptomics) and mass spectrometry (metabolomics
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is an epigenetic modification and plays critical roles in many biological processes, including genomic imprinting, cell-fate determination, chromatin architecture organization, and regulation of gene
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architectures, such as three-dimensional integrated circuits (3D-ICs), are poised to open up new avenues for more powerful functionally diverse electronics devices. Unfortunately, there is a lack of appropriate
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industries and research sectors. Our research group is interdisciplinary, drawing from diverse previous research experiences including wet-lab and computational work. Interested candidates are invited to reach