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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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student will evaluate the antibacterial efficacy of plasma on model bacteria in vegetative form (Staphylococcus epidermidis, hylococcus aureus and Pseudomonas aeruginosa) deposited on acellular skin
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laboratory team is likewise highly recognized for its research in computer vision and neuro-inspired artificial learning. Both teams have been collaborating for four years on projects at the interface between
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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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matter and information for life. Artificial vascular networks have mimicked this strategy, without reproducing the same level of autonomy and adaptability. In the most adaptable organisms, the vascular
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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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the sector by creating new publishing models and raising copyright issues. The project will also address the risks associated with digital technology, such as piracy and artificial intelligence. The ultimate
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be to dissect the mechanisms underlying the compartment-specific recruitment of mRNAs along axons. First, the student will dissect the contribution of activity cues. Through artificial inactivation