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Inria, the French national research institute for the digital sciences | Gif sur Yvette, le de France | France | 3 days ago
spectrum reflecting the chemical composition of the sample. Using this approach, the project partners https://www.multi-opto-diag.fr/khi-malma-piq/ recently demonstrated that the so-called “silent region
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-generation neuromorphic implants with learning capabilities for healthcare applications, utilizing ultra-low power technology for embedded devices. This topic is a major area of research activity of the IEMN
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 3 days ago
and physical oceanography, data assimilation and machine learning. Gathering this large panel of skills, the team aims at improving our understanding, reconstruction and forecasting of ocean dynamics
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platforms and 1,600 partner companies. For more information: https://www.imt-mines-ales.fr You will be based at the Mines Alès Materials Center (C2MA) at IMT Mines Alès and will be part of the UMR LMGC
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develop and implement machine learning approaches to analyze these data and extract relevant indicators to improve water resources management. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 days ago
to the use of low-parametric models such as SMPL. Using many videos for redundancy can allow to acquire more detail, but at the expense of computation speed. And all this detail needs to be animatable, which
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. The school has many strategic alliances and academic partnerships with leading institutions worldwide. More information on the School and our Department is available at https://www.essec.edu/en/pages
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out a rigorous scientific study aimed at comparing the performance of deep learning models in detecting complex visual anomalies. Take charge of the entire study, define the evaluation criteria and
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | about 22 hours ago
brings together a community of clinical, academic and industrial partners fostering the adoption of collaborative learning in real-world medical applications. Fed-BioMed focuses on security, access and
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-based, and machine-learning approaches - Identifying markers of intelligent, intentional, and malicious manipulations of detection systems - Developing detection and classification methods to distinguish