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develop digital twin algorithms to assist clinicians in developing treatment plans for patients with chronic diseases. Analyzes complex sensor data, works with a multidisciplinary team to develop health
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for Autonomous Vehicles and Sensor Systems, Center of Innovation in Mechanics for Design, INVENT Lab, StarLab and the Energy Systems Laboratory. We also have approximately 70 masters of engineering students
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, and through major research centers, such as the Turbomachinery Laboratory, Center for Autonomous Vehicles and Sensor Systems, Center of Innovation in Mechanics for Design, INVENT Lab, StarLab and the
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materials, sensor components, and system prototypes. Conduct electrochemical impedance spectroscopy (EIS), cyclic voltammetry, and power density measurements. Lead data acquisition, signal processing, and
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practices. Responsibilities Data Reconnaissance- Conducts field data collection campaigns using UAS, RTK systems, GPS/GNSS, ground-based sensors, and environmental instrumentation. Plans, coordinates, and
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of geospatial sensing infrastructure to support continuous data acquisition across port facilities. Develop decision support tools and operational dashboards integrating real-time sensor data, geospatial
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plant stress mechanisms, quality assessment, harvest management, and resource-use efficiency by utilizing sensor technologies, automation, robotics, large datasets, machine learning, and AI-driven
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place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans for patients with chronic diseases. Analyzes complex sensor data, works with a
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experiments. Calcium imaging: Utilizing calcium dyes or genetically encoded calcium sensors (i.e. GCaMP) to measure and quantify intracellular calcium levels in a live brain slice preparation. Performing
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, publications. Fundamental Research and R&D- Lead fundamental research in disaster analytics and disaster AI, with emphasis on geospatial-temporal modeling, multimodal data fusion (e.g., imagery, text, sensors