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Field
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]. For these reasons, we aim to go beyond the weaknesses of these methods, by investigating novel classes of generative models with deep learning to address anomaly detection. The goal of this PhD thesis is to explore
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Infrastructure? No Offer Description Project title: Functional reading of moving texts applied to the ergonomics of digital learning tools. Subject: As part of the SciCoNum project, and in partnership with
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Research Project: Implementation of Machine Learning techniques to optimize laser-plasma accelerators experimentally and numerically for industrial and medical applications. Since the first
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compare the patterns modeled, and demonstrated the relevance of these approaches by integrating them in a brain morphometric method based on machine learning [3]. Recently, we started to explore
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in the field of medical imaging. The team particularly studies the potential of machine learning methods for an efficient and relevant representation of medical data such as images. The challenges
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binders to inhibit such interactions. To achieve this goal, the candidate will develop a deep learning model to predict the binding sites and the potential binders within the search space. This position
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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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Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Context The field of Federated Learning (FL) in healthcare offers
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classical workflows with an advanced RTC platform that would embark hardware dedicated to AI workloads together with new data-driven deep learning methodologies and several corresponding computing hardware
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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