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) on the application of machine learning methods. They will then have to implement the best solutions in the TDMx open-source software. This thesis will be co-supervised by Pr Nicolas Grégoire, from the "Pharmacology
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experimental campaigns to acquire the data required for his thesis, as well as for the MONI-TREE project as a whole. The PhD will take place in LETG-Rennes, with expected missions to ONERA's Palaiseau for works
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with interests in molecular simulations, machine learning, and statistical mechanics for research opportunities in: • Development of data-driven schemes for the discovery of slow degrees of freedom
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PhD offer in Channel charting and machine learning techniques for massive cell-free MIMO 6G networks
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Title Channel charting and machine learning techniques for minimizing the power consumption of massive
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of Inria and will be supervised by Nikolaos Georgantas ([email protected] ) and Maroua Bahri ([email protected] ). Mission confiée Automated Machine Learning (AutoML) is an approach
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related to staff position within a Research Infrastructure? No Offer Description [Technical] Assist the team with computer resources (access to clusters, and scaling machine learning programs), [Technical
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in the center of Paris. He/She will integrate the MLIA team (Machine Learning and Deep Learning for Information Access) at ISIR (Institut des Systèmes Intelligents et de Robotique). MLIA is
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Université Gustave Eiffel / IFSTTAR - Site de Marne-la-Vallée | Champs sur Marne, le de France | France | 15 days ago
networks over extended periods [3]. The advent of artificial intelligence, particularly machine learning techniques, shows promise in learning optimal local policies from observations [4], while distributed
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computer vision and robotics, the WILLOW team has consistently produced high-quality research, resulting in publications in major journals and conferences. As part of the team, you will have access to a well
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machine learning and data science to make 6G networks "AI-native". You will join a high-performance global team committed to driving continuous improvement and world-class innovation in networking research