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million, 5-year NSF EPScOR grant entitled SMART FireS (Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science). Duties and Responsibilities Develop a nationally recognized
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how innovation is integrated into patient care to improve clinical outcomes. Our current projects include developing wearable sensors and telehealth solutions to monitor physical and cognitive
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. Position Duration: 12 months, with the possibility of renewal based on performance and funding. Responsibilities: Analyze complex experimental datasets, including time series data from field and sensor-based
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design, prototyping, testing, and refinement of robotic systems and automation solutions, including sensor integration and feedback control. Collaborate with a multidisciplinary team to design and execute
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, sensor networks, robotics, and machine learning applied to the integration of computational algorithms and physical processes; Foundational aspects and methods in Machine Learning; Applications of machine
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motivated postdoctoral fellow to investigate how cell death sensors regulate immune responses, with an emerging interest in the retina. Building on our prior work (PMID: 35969037, PMID: 36662852) we aim
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University. The Center for Behavioral Science Research seeks a postdoctoral associate with strong interest and competency in mobile health (apps, text, sensors, VR) and health behavior change. The position is
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into detector systems. Evaluate optimal sensor placements and perform coupling measurements before and during each observation run of the LIGO Scientific Collaboration. Develop techniques and algorithms
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models for fracture propagation, reactive transport, and reservoir-scale hydrogen yield prediction. Design and implement data acquisition systems and sensor integration for experimental campaigns. Prepare
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. You will: Design, implement, integrate, and test software for performing autonomous vehicle guidance and control. This software includes monitoring sensors, controlling actuators, controlling motors