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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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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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is an interdisciplinary effort at the frontier between Biology (Genetics, Genomics), Bioinformatics, Artificial Intelligence (Neural Networks) and Statistics (LMMs). The aim is to join the
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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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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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images, detecting hidden information in generated images The postdoctoral researcher will conduct research activities in steganography, steganalysis, and detection of generated contents. Artificially
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, Heudiasyc has been closely tied to the CNRS and is affiliated with the INS2I division (Information Sciences). Its research activities span computer science, automation, robotics, and artificial intelligence