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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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numerical dynamo simulations and analysis/visualization of their output is required. In addition, experience with geomagnetic field models over different time scales (modern, historical, archaeomagnetic
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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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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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/Actualites/Intelligence-artificielle… The goal is to have several teams "coopeting" (collaborating and competing at the same time) to solve major data challenges in marine science. The challenge of interest