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well-calibrated artificial intelligence (AI) through international collaborations (e.g., UT Austin, MIT). Your main responsabilities : To carry out research missions in the field of model-based RL
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. - Knowledge in programming, data treatment, electron diffraction simulations, mathematical skills, knowledge about machine learning and artificial intelligence is a plus. Website for additional job details
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: This project 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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of EXOSTECH is to fill this gap. The methodology is based on the development and application of innovative principles such as the integration of tribology with artificial intelligence to study use-wear patterns
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or chemical shift selective techniques will be applied to analyze and quantify cerebral metabolites. We also explore the use of artificial intelligence (AI) to improve the resolution of localized 1H NMR spectra