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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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tools capable of integrating, modeling and interpreting this wealth of information. It is in this context that artificial intelligence (AI) approaches, particularly deep learning, offer considerable
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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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laboratory of the Paris Observatory is offering a two-year postdoctoral position dedicated to interdisciplinary research at the interface of artificial intelligence and digital humanities. Specifically, 80
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focus on dissecting the intricate relationships between RNP condensate architecture and functions. Using genetics, chemical approaches and an advanced system to generate artificial condensates
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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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aspects of artistic know-how in the field of digital graphic creation, to explicitly model them in algorithmic form, and to integrate them into state-of-the-art artificial intelligence methods for image and
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diarylethenes, sensitive in the near infrared. The final target is to integrate them in synapses of artificial optical neuronic networks. Main tasks: • Synthesis and charaterization (NMR) of organic photochromic
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or more of the following skills would be highly evaluated: protein design or the usage of artificial intelligence for structural biology; protein expression and purification; protein crystallization and
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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