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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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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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expertise in neuroscience, artificial intelligence, and cognitive psychology to develop a unified theory of auditory-scene analysis in brains and machines. Close collaboration with Prof Elia Formisano's group
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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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protein sources, new ways to recycle carbon, nitrogen and phosphorus. Greenowl deploys theoretical tools, from the fields of automatic control and artificial intelligence and combines them with experimental