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Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available
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for the detection of exoplanets in coronagraphic images. Unlike traditional methods that rely on angular or spectral diversity to differentiate planetary and stellar light, this project is to develop Coherent
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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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algorithms with surgical robotics. The RA will design and implement cutting-edge algorithms, and also be actively involved in the development AI tools tailored for different medical domains. These are efforts
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, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted to complex 3D underground geometries. The research will be conducted in close
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efficient and scalable algorithms that can handle large-scale datasets. Tensor Analysis: Analyze the structure and properties of multidimensional networks represented as tensors. Investigate different
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conditions de restauration dans un problème inverse avec contrainte de parcimonie, et de proposer des algorithmes utilisant ces conditions [1]. Ce sujet de thèse étudie le problème dans le cadre de
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printing and laser marking. Your control algorithms will determine the dynamics, precision and stability – directly measurable in the laboratory. Why this is exciting for you: You can apply your knowledge
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10 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis Research Field Computer science Mathematics » Algorithms
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: design and implement technologies and algorithms (including feedback control design and implementation) to reduce the noise sources that limit the current detector sensitivity; model optical subsystems