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Field
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, audio, and sensor data. These AI models move beyond conventional predictive and purely data-driven approaches by seeking to capture the underlying causal, spatial, temporal, and semantic relationships
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, combined with advanced motion analysis in the laboratory and wearable sensors in daily life. By linking physiological markers of fatigue to movement quality and real-world activity, you will gain new
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holography, structured-light and fringe projection, deflectometry, pattern tracking, high-speed imaging and thermography. Complementary photonic sensing approaches, such as fibre Bragg grating sensors, may
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-resistive sensors especially suited to 2D materials whose orbital currents depend on the carrier density (tuned by controlling an electrostatic gate). With this method we have recently observed the anomalous
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discipline that directly impacts important technological and societal topics such as thermoelectric energy harvesting and next-generation gas sensors. The project has access to state-of-the-art supercomputing
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. Together, you will help advance a key scientific discipline that directly impacts important technological and societal topics such as thermoelectric energy harvesting and next-generation gas sensors
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, including a sensor-based system, for studying human-material experiences with temporal and biofabricated textiles. You will then apply this methodology and toolkit in user studies to investigate how people
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conceptual and practical research using drone detection systems, interceptor drones and other technologies driven by advanced sensors, data communication systems, and artificial intelligence. Are you motivated
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include work with remote sensing, autonomous sensors, environmental monitoring technologies, data integration, and system-level analyses of monitoring performance under changing environmental conditions
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
rely on the integration of multiple heterogeneous models and data sources, such as sensor observations, simulation models, geographic information systems, and domain knowledge bases. Ontology alignment