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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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computing centers. The recruited person will have the opportunity to attend various training courses during her/his thesis, either related to the subject of the thesis or to more general topics. A PhD
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materials using online sensoring, machine learning and digital decision-making tools This PhD offer (PhD 13) is part of the 15 PhD contract proposals related to the European CESAREF project (www.cesaref.eu
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design, and innovative computer architectures. Our research interests range from the study of fundamental phenomena to the design of new devices with potential for technological applications in information
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inference and machine learning techniques. This will involve learning the specificities of the movements of heterogeneous users of an infrastructure, so as to enable a reliable prediction of collisions, and
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computing techniques and machine learning approaches. In addition to the physics analysis, you will perform studies for extending the existing real-time analysis software running reconstruction and selection
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) based channel estimation algorithm can be designed and implemented by simulations in the framework of compressive sensing theory. Advanced machine learning techniques can also be investigated to serve
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LS2N in Nantes and the ETIS laboratory in Cergy. The PhD student will work mainly at LS2N and will be supervised by C. Chevallereau (LS2N), A. Pitti(ETIS) and P. Wenger(LS2N). Title: Tensegrity and
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reimbursement of public transport costs From automated hospital admission systems powered by machine learning (ML), to flexible chatbots capable of fluent conversations and self-driving cars, the wildfire spread