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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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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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objective is to develop artificial intelligence methods that complement modeling techniques, particularly at the atomic scale, specific to the physical chemistry of materials. In this context
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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | 1 day ago
physiological and neural recordings (EEG, fNIRS, ECG, blood pressure, and PPG) with advanced signal processing, mathematical modeling, and artificial intelligence. This project aims to provide new insights
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scienceYears of Research ExperienceNone Research FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria Knowledge of how generative artificial intelligence works Thesis in
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on research projects related to antibioresistance and the development of modeling, bioinformatic and artificial intelligence tools - apply for national and international research grants - contribute
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post-docs that are willing to work on this innovative project at the frontiers between behavioral pharmacology, artificial intelligence and neurosciences. Candidates with strong background in data
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Post-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/F This post-doctoral position is part of a collaboration between LIAD (Laboratory of Artificial Intelligence and Data
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of their life cycle. Recently, two technologies have emerged that offer new possibilities: high-throughput systems like flow chemistry, which can rapidly generate chemical data, and artificial intelligence (AI
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such as OPAL-RT, as well as experience in applying artificial intelligence and optimization techniques to energy systems for optimization and stability enhancement, is highly desirable Specific Requirements