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maintain data pipelines for ingesting, processing, and integrating multi-source datasets (geospatial, sensor, social, and administrative data). Design feature engineering workflows and model evaluation
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We are seeking a highly motivated Research Assistant to join our advanced sensors research team at NTU MAE. The successful candidate will support multidisciplinary research activities in
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of sensor response, and image quality metrics Significant experience with electro-optic designs that extend the electro-optic state-of-the-art Significant experience bringing together distributed teams
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of Associate/Assistant Professor, who will also be a joint faculty member in the Faculty of Information Science and Computing (FIC), in the following disciplines: IoT infrastructure and devices (sensors
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personnel and collaborating with producers, Extension or interdisciplinary teams Experience with agricultural equipment, field instrumentation, remote sensing, UAVs, sensor networks or environmental
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. Work will include designing and implementing mixed-method studies with human participants; collecting person-level sensor/simulator and field data; analyzing repeated-measures and multimodal behavioral
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pressing challenges in food and water security, environmental change, and socio-ecological resilience. Its research combines geospatial computer vision, digital twins and photogrammetry, and sensor fusion
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& Pervasive Systems, including sensing & sensor information processing; IoT and embedded systems; embodied AI and robotics systems; mobile and pervasive systems; context-aware and edge computing platform. o
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& Pervasive Systems, including sensing & sensor information processing; IoT and embedded systems; embodied AI and robotics systems; mobile and pervasive systems; context-aware and edge computing platform. o
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, networks and sensors that can be deployed in the world. The functionality of these technologies is already articulated to some extent, but applications relevant for people, industry and governments are less