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: - Apply unsupervised machine learning concepts to the analysis of continuous seismograms recorded in the vicinity of active volcanoes, in order to extract information about the state of the volcano and the
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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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Mines Paris - PSL, Centre PERSEE | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
of the following competencies: applied mathematics, statistics and probabilities data science, machine learning, artificial intelligence energy forecasting power system management, integration
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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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stage, the research project consists in the training of the developed scoring function using a benchmark dataset of protein/ligand complexes associated to experimental binding constants. Machine learning
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relevant MPs and TPs (potentially through the implementation of machine learning methods), - apply these methodologies (in suspect and non-target modes) to the identification and monitoring of emerging
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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