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to staff position within a Research Infrastructure? No Offer Description Sensor development at the Faculty of Pharmacy (UCM). Multidisciplinary project in materials science and sensor design applied
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intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https://www.ntu.edu.sg
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Ref. 4364_All. 3 - Methods and Tools for Secure and Autonomous Brain-Inspired Cyber-Physical Systems
Research Infrastructure? No Offer Description "The research will focus on autonomous edge systems based on brain-inspired, sparse and event-driven computing, with emphasis on edge and near-sensor processing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
with potentiometric sensors, amperometric enzyme-based sensors, chronoamperometric assay development, reference electrode integration, and sensor calibration in biological or complex media is highly
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contested environments, leveraging Vision-Language-Action (VLA) models, multi-sensor fusion (LiDAR, radar, cameras, IMU), semantic SLAM, and EW-resilient mission planning. The platform will feature modular
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that enables these systems to operate reliably. The selected candidate will: - Set up, configure, maintain and troubleshoot immersive-room hardware; - Integrate projectors, cameras, sensors, computers, audio
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Engineer, Embedded ML to join the MetaSense project — a wearable cardiometabolic
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University System for themselves and their families, as well as numerous other benefit programs. https://www.tamus.edu/business/benefits-administration/ What you need to know TTI is a Texas based agency. The
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an intelligent, semantic and value-driven transmission framework for thermoelectric, battery-free sensor platforms, the project reduces dependence on disposable batteries, thereby minimizing electronic
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to monitor physiological conditions and modify their behaviour accordingly. The project will explore smart materials, soft sensors, embodied intelligence and low-power control strategies that support