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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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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Our team is seeking a highly motivated Research Assistant to contribute to cutting-edge research in embodied AI and
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 23 hours ago
pipes in the subsurface. Innovation opportunities lie in combining physics-based knowledge with AI-assisted data analysis and data fusion techniques. By integrating multiple data sources and sensor
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). The unit is divided into ten research teams of varying size covering the thematic axes of photonics and waves, materials, energy, reliability of systems in constrained environments and sensors and
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, you will work with biodiversity data collected by remotely operated vehicles (ROVs) equipped with multiple sensors, including imaging systems, acoustic devices, and eDNA sampling technologies, as
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transmitters, DPD algorithms, and analog/mixed-signal challenges. For more details about the DISRUPT project, please visit: https://elca.tudelft.nl/Research/project.php?id=243 https://www.linkedin.com/posts/tu
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was established in 1966 and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk
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geometries and process-induced defects demand new inspection approaches. The project combines modelling, sensor fabrication, experiment, and data analysis. You will work with a team of experts to develop
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sensors and devices, and sustainability sciences. Whether it be through science, engineering, technology or professional services, every team member has an opportunity to contribute to our mission and
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responsibilities. Experience Essential: E1 Experience of analysing human body movement from sensor data (eg RGB videos and/or MOCAP data) using Deep Neural Networks (such as Graph Convolutional Networks). E2