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Field
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mHealth systems integrating smartphones and wireless sensors with signal processing algorithms and artificial intelligence (AI) models for unobtrusive sleep apnea detection, multi-night monitoring
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robotics using Artificial Intelligence (AI) and advanced sensor fusion techniques. The research will investigate how UWB measurements can be combined with data from onboard sensors such as inertial
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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fields (e.g. interpolation, climatological fill, ML-based gap-filling). • Apply noise-removal algorithms (e.g. signal filtering, radar clutter suppression, spike detection) across sensor and remote
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lead the design, statistical optimisation and validation of assays for clinically relevant bladder cancer targets. Their central objective will be to develop an algorithmic workflow to detect new target
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-to-day technical execution of the project. Key Responsibilities Assist in the development, implementation, and testing of signal processing and imaging algorithms for high-frequency ultrasound
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
covers the object's entire life cycle and uses real-time data sent by sensors on the object to simulate its behavior, monitor operations, and anticipate its functioning. Partial differential equation (PDE
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at IP2I (LMA) and extreme adaptive optics (XAO) for exoplanet imaging at CRAL. This interdisciplinary initiative aims to develop a new generation of wavefront sensors capable of achieving sub-nanometric
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perception pipelines, including BIM-based SLAM, traversability map analysis, and 3D LiDAR/vision sensor fusion. • Design few-shot learning algorithms for robust detection of temporary construction objects