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/chiplets/interposer/wafer-scale), quantum, superconducting, machine learning, edge computing, and security/privacy in computer architecture. Digital Logic Design and VLSI – including ASIC/FPGA design for
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; wearable physiological sensors; point-of-care diagnostic devices; biosensors for disease detection; portable and miniaturized diagnostic platforms; microfluidic-based biosensing systems; image-guided
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engineering. Areas of interest include, but are not limited to: Low-power microelectronics Wide-bandgap semiconductors RF, millimeter-wave, analog, mixed-signal, and digital integrated circuits Optoelectronics
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information exchange (HIE) Natural language processing in clinical/biomedical domains Mobile health, digital health, human–computer interaction in health Learning health systems, community health informatics
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/chiplets/interposer/wafer-scale), quantum, superconducting, machine learning, edge computing, and security/privacy in computer architecture. Digital Logic Design and VLSI – including ASIC/FPGA design for
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learning Descriptive, predictive, and prescriptive analytics Data mining Natural language processing Computer vision Computational Sustainability Human-AI collaboration Human-AI alignment Data science for
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, Computer Vision, Cyber security, Cyberphysical Systems, and Quantum Computing. Candidates with experience in applications to biomedical and health sciences are strongly encouraged to apply. As the state’s