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solar energy therefore appears as one attractive solution to replace fossil fuels. Inspired by natural photosynthesis, researchers develop artificial systems with the ultimate goal to store solar energy
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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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is positioned for skin wound repair, as demonstrated by our first in vivo proof of concept. To propel our invention into the wound care market, the project seeks to demonstrate the universality
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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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developed quantum light sources based on artificial atoms known as semiconductor quantum dots. These quantum emitters, carefully integrated into optical cavities, generate indistinguishable single photons
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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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developing research work on self-assembled metamaterials for the past ten years. Metamaterials are artificial materials whose structure is designed to induce specific properties of wave propagation, possibly
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polariton accelerator” will exploit exciton–polaritons to implement artificial neural networks directly in hardware rather than in software. Exciton–polaritons are hybrid quasiparticles composed of light