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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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off-the-shelf sensors and the development of resilient algorithms that combine first-principles modeling with modern machine learning techniques. The goal is to push the boundaries of robust perception
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vehicle (AV), allowing for automated detection, prediction, mapping, and planning. During the vehicle’s operation, data is obtained through a myriad of sensors in an AV—including RADAR, LIDAR, cameras, and
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of algorithms and digital neuromorphic hardware is an additional avenue for enhancing the efficiency of the methods. In this context the research will explore digital, event-based implementations
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of Oxford. The post is funded by the National Institute for Health and Care Research (NIHR) and is fixed term for 24 months. The researcher will develop multi-sensor 3D reconstruction algorithms to fuse
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underlying pain and distressing symptoms in people who are no longer able to explain their suffering. The project will combine traditional assessment scales with sensor-based measurements, with novel analyses
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traditional assessment scales with sensor-based measurements, with novel analyses based on signal processing and artificial intelligence. 5-D is part of an innovative, active, and multidisciplinary research
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materials. This class of materials has unique properties which make them promising candidates for next-generation electronic devices, energy storage systems, sensors, and catalysts. However, they also pose
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expertise in analysing and interpreting satellite remote sensing data from Synthetic Aperture Radar (SAR) and multi/hyper-spectral sensors for measuring ground deformation, mapping surface changes due
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Europe | about 1 month ago
-light scattering on coupling in MCFHost institution: CNRS-PhLAM, FranceSupervisors: Prof. L. Bigot (CNRS-PhLAM), Prof. Y. Quiquempois (CNRS-PhLAM)DC 4 – OpenProject Title: Innovative MCF amplifier