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these unique datasets using advanced artificial intelligence methods to automatically analyze blood-flow velocity, vessel diameter, and the functional response of the retinal vascular network. The project
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within the ANITI HUCAD project which aims to develop Artificial Intelligence (AI) systems fostering human-machine collaboration for effective deliberations. It aims to enhance the argumentation
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of BN-based heterostructures by MOVPE and will also perform advanced characterization of the materials (XRD, AFM, SEM, PL, CL, and electrical measurements). Where to apply Website https://emploi.cnrs.fr
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of external conditions. Recent work has demonstrated the strong potential of combining Internet of Things (IoT) devices with artificial intelligence in the cloud, but to date no solution has proposed embedding
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, geography, spatial remote sensing, and artificial intelligence. In this project, urban space is considered as an interconnected system with multi-scalar spatial and temporal dimensions that should be studied
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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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active in the fields of robotics, mechatronics, automatic control and artificial intelligence. Both departments are located in the same building, and have a long history of working together. A world
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leveraged to develop functional demonstrators for diverse application sectors, such biomedical, space, and beyond. To achieve this, a neuro-symbolic artificial intelligence (AI) architecture that combines