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research in information and digital technologies (computer science, automation, robotics, artificial intelligence), with the aim of developing methods for representation, analysis, and control of complex
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physical interaction necessitate the use of multiple robots to mitigate this issue [1]. Finally, despite the great recent progress in automation, computer science, and machine learning, robots still have
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wide spectrum of topics in CNU sections 27 "Computer Science" and 61 "Computer Engineering, Automation and Signal Processing". The laboratory is located at the heart of the Sophia Antipolis technology
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@ntNet, a platform dedicated to automated plant identification. This mission will focus on the following key areas: 1. Study and Adaptation of Influence Functions** The doctoral student will delve
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for such applications. To respond to these challenges, this project aims to investigate automated decision making based on machine learning. The candidate (H/F) will propose and validate centralized as
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mass, makes it crucial to control the permeability properties of composites. The thesis project focuses on specific defects induced by automated fiber placement (AFP), in particular gaps and overlaps
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, in accordance with regulations, requires that your arrival be authorized by the competent MESR authority. The proposed thesis is part of the ANR collaborative project ATHENA (Intelligent Automation