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tools capable of integrating, modeling and interpreting this wealth of information. It is in this context that artificial intelligence (AI) approaches, particularly deep learning, offer considerable
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artificial intelligence models. We have previously proposed formalizing fluency through the notion of information processing efficiency. In particular, we have shown that the sparsity of neural activations
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. The Department of Computer Science (DCS) headed by Prof. Dr. Jean-Sébastien Coron (jean-), is opening an Assistant / Associate Professor (depending on qualifications) position in Artificial Intelligence. Your role
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Description of the host entity/department Université Côte d’Azur (UniCA) coordinates the consortium that forms the 3IA Côte d’Azur Institute, one of four Interdisciplinary Institutes for Artificial Intelligence
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will be jointly embedded and interact with PhD students and research engineers of the Interdisciplinary Institute for Artificial Intelligence (3iA) TechPool, and operates in the context of international
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experimental data (from ex-situ and in-situ measurement). Therefore, she/he will develop a way to optimize/guide the experiments trough artificial intelligence approach (machine/deep learning) that he will
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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University, is recognized for its expertise in artificial intelligence and formal methods In this stimulating academic context, we will focus on the problem of explainability of artificial intelligence models
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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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: Artificial Intelligence and Decision Mathematics Appl Deadline: 2025/11/21 11:59PM (posted 2025/09/18, updated 2025/09/17, listed until 2025/11/21) Position Description: Apply Position Description