Type annonces : Postes Doctorant

[PhD] AI for Multimodal Ophthalmic BiomarkersFoundation Models and Predictive AI for Video-Based Analysis of Social Synchronization in Autism Therapy Context

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Context: Autism Spectrum Disorder (ASD) affects approximately 1 in 100 children worldwide and represents a major public health challenge. Early interventions are critical to improve developmental outcomes, particularly therapies aimed at enhancing social communication and interaction. Exchange and Development Therapy (EDT), developed at the University Hospital of Tours, focuses on…

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[PhD] Video content security in a deep learning coding architecture

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PhD open position:Title: Video content security in a deep learning coding architectureKeywords: video coding, deep learning, security of video content, confidentiality, integrity Description:Over the past few decades, numerous video compression algorithms have been developed, most based on a hybrid architecture combining transform coding and predictive coding. Standards such as H.264/AVC,…

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[PhD] Geometric-Semantic Adaptation of Multimodal LLMs for High-level Landmark Detection in Complex Environments

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General information Description Context Landmark detection, description and matching is the cornerstone of autonomous visual localization systems deployed in unknown environments. While most widely-adopted and accurate solutions exploit low-level landmarks (i.e., points or lines), dealing with large-scale and visually ambiguous environments remains highly challenging due to the inherent multiplicity, ambiguity…

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[PhD] BAYESIAN RECEIVER DESIGN AND BEAMFORMING FOR MULTIUSER MIMO THZ COMMUNICATIONS USING PROBABILISTIC GRAPHICAL MODELS AND GRAPH NEURAL NETWORKS

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Abstract: Wireless communications in sub-THz and THz bands are considered a key enabler for future 6G networks due to the abundance of unused spectrum and the potential for ultra-massive MIMO (UM-MIMO) systems that achieve terabit-per-second data rates and precise localization. However, challenges such as severe path loss, blockage, hardware impairments,…

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[PhD] ANR: On-line change detection on Lie groups for satellite attitude control

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ContextDetecting abrupt changes consists in identifying the instants when the statisticalbehavior of a system changes significantly. This problem is crucial in awide range of engineering applications, where faults, environmental changes, oroperational mode switches may occur. In a real time setting, detecting suchchanges must be performed on-line, i.e. whenever a sensor…

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