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to the translation into applications such as green technologies or smart sensors. We offer two training programmes: Track II for students with a top-level Bachelor’s degree and Track I for top-level Master’s degree
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methodologies to analyze intensive data streams, including mobile sensor data, social media, and ecological momentary assessment data The use of models as measurement instruments The selected candidate will
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Specification: https://www.jobapscloud.com/CT/specs/classspecdisplay.asp?ClassNumber=0782TC&R1=&R3= INTRODUCTION UConn’s Facilities Operations Department has one job opening for Electronic Integrated Control
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systems, devices (including fabrication) and sensors, robotics and automation, artificial intelligence and machine learning, advanced electronics, and communications. Our faculty are particularly encouraged
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Optimization of energy system design with application of smart sensors and controls, integration of renewable energy sources and heat pumps Application of artificial intelligence/machine learning for real-time
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/socioeconomic data, sensor data) Contributing to translational research that tightens the loop between engineering innovation and clinical practice Disseminating findings through high-impact journals, conferences
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emphasizes developing and deploying AI tools—especially vision-based and multi-sensor analytics—to improve safety for pedestrians, bicyclists, and micromobility users. The scholar will play a central role in
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. Working with geospatial and mobility datasets (GPS trajectories, transit feeds, sensor data, demographic/socioeconomic data) Co-designing tools and analyses with municipal and MPO clients, including
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of the Ocean Observatories Initiative Regional Cabled Array (https://oceanobservatories.org/regional-cabled-array/ ) that land in Pacific City, Oregon. One cable runs 500 km west to Axial Seamount, while
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include edge computing & real-time sensor fusion for perception, intelligent path planning, human-machine interfaces, etc. AI/ML-enabled approaches to microbiome science related to precision medicine, human