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the field of neuromorphic artificial intelligence, energy-based models (EBMs) are attracting growing interest due to their ability to capture relationships between variables by minimizing a single scalar
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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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7 Nov 2025 Job Information Organisation/Company CNRS Department GEORGIATECH-CNRS Research Field Engineering Physics Technology Researcher Profile First Stage Researcher (R1) Country France Application Deadline 27 Nov 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per...
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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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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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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The role involves designing, developing, and assessing artificial intelligence systems
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laboratory of the Paris Observatory is offering a two-year postdoctoral position dedicated to interdisciplinary research at the interface of artificial intelligence and digital humanities. Specifically, 80
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biology, physics, image processing and artificial intelligence studying cell division using a cellular biophysics approach. We aim to understand the robustness of cell division by measuring and modelling
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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