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integration, and artificial intelligence, co-coordinates the MetaboLinkAI project and is affiliated with the Interdisciplinary Institute of Artificial Intelligence (3IA) of the Côte d'Azur. The thesis will also
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), in which he or she will be able to give courses, and the Department of Computer Science, Data and Artificial Intelligence of Institut Polytechnique de Paris (IDIA). He or she will also interact with
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. The BayesCompare project is a FNR funded project on Bayesian comparisons between artificial and natural representations to improve our understanding how natural and artificial intelligences process information
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description of natural or artificial glycomaterials to their structural and functional properties determination. SPG expertise covers a wide range of fields in materials science including crystallography
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Mines Paris - PSL, Centre PERSEE | Sophia Antipolis, Provence Alpes Cote d Azur | France | 2 months ago
for prescriptive analytics based on artificial neural networks and prescriptive decision trees focusing on the energy trading application. The aim is to propose generic solutions for a broad number of
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–10098. [3] Thompson, P. J.; Boggs, D. G.; Wilson, C. A.; Bruchs, A. T.; Velidandla, U.; Bridwell-Rabb, J.; Olshansky, L. Structure-Driven Development of a Biomimetic Rare Earth Artificial Metalloprotein
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
between producers and consumers is done via an auction system. The aim of this thesis is to define and implement computational game theoretic approaches making use of artificial intelligence
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obtained at LAPLACE and FEMTO-ST. The two models will then be coupled to form a multi-scale degradation model. This model will feed into work being carried out at FEMTO-ST to develop an artificial
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, P. (2024). Taking the human out of decomposition-based optimization via artificial intelligence, Part I: Learning when to decompose. Computers & Chemical Engineering, 186, 108688. Mitrai, I
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artificial intelligence (AI) [Iglesias2022] with low-field MRI technology. Unlike conventional MRI systems that rely on high magnetic fields (1.5-7T), this approach aims to democratise access to MRI by