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multimodal AI algorithms for fire, smoke, and hot-work detection by fusing optical, thermal/infrared, LiDAR, RADAR, and gas sensor data under varying environmental conditions. Design computer vision and human
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multidisciplinary team to lead a field-based study characterizing volatile organic compound (VOC) exposure across diverse real-world indoor environments. This role offers the opportunity to conduct mobile sensor
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published. Website for additional job details https://www.cd6.upc.edu/ Work Location(s) Number of offers available1Company/InstituteCentre for Sensors, Instruments and Systems Development (CD6
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is to design a data architecture capable of harmonising sensor data and integrating them with artificial intelligence algorithms for predictive irrigation management. The research will include
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fascinated by cutting-edge photonic technologies and their role in shaping the future of clean energy? Do you want to pioneer integrated photonic sensors for nuclear fusion diagnostics? Join us in developing
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Multi-Sensor Data Fusion and Smart Decision Making School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline: Applications
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Fellow (RF) to work on smart solid carbon
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Number: 5145 Job Description: Installs, repairs and maintains valves up to ¾ inch in diameter, thermostats, sensors, dampers, and other components of pneumatic, electric and electronic systems controlling
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years, including the C-band European Space Agency (ESA) ERS-1/2 and ASCAT sensors beginning in 1991 to current, the Ku-band NASA‘s NSCAT QuikSCAT, SeaWinds, and ISS-RapidScat scatterometers, and the Ku
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Programming experience including Arduino, Raspberry Pi, and some circuit design and sensor selection Proficiency with the MS Office Suite (Word, Excel, Outlook, and PowerPoint) Ability to train, instruct, and