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laboratory of Sorbonne Université and CNRS. The PhD applicants will be hosted by the “Machine Learning and Deep Learning for Information Access” team (MLIA - https://www.isir.upmc.fr/equipes/mlia/ ), which
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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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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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software engineers as well with the ILANCE laboratory (located in Japan) in order to build a strong leadership in Machine-Learning based algorithms. Frequent travels to Japan and CERN (working at ILANCE
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of electrons, spin, photons and nuclear motion. TIMES merges different areas of expertise in many-body physics, time-dependent electronic structure methods, and machine learning to reach a new paradigm of the
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machine learning techniques - modelisation according to sociological research questions This one-year postdoctoral contract is funded by the CNRS as part of an interdisciplinary call. The subject concerns
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Retrieval, Patrimonial archives, Computer vision, Deep learning, recent neural architectures, ViT, CNN Research project description Some photographic archives are made up of multiple images that are almost
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in the field of chemoinformatics or molecular modelling and will have skills in algorithmic programming (Python required, C++ would be a plus) and machine learning. Experience in statistics and QSAR