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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 9 days ago
to identify the object landmarks that can be used for localization in a given environment. Moreover, object detectors used in these methods must be finetuned to recognize objects beyond common categories
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human activities, and a probabilistic analysis of the risks associated with their development by 2050. 1. Literature review of multi-scale modelling methods for cumulative effects Initially, a
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 28 days ago
Tong Zhang. Communication-efficient distributed optimization using an approximate newton-type method. In International conference on machine learning, pages 1000–1008. PMLR, 2014. [6] Lucas Theis, Wenzhe
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candidate will be supervised by P.M. Congedo, E. Denimal Goy and Olivier Le Maître, experts in uncertainty quantification methods. The work will be conducted in the Platon team, a joint research group between
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, Infected macrophage populations. Perform parameter estimation using optimization and machine learning approaches Develop numerical schemes for high-dimensional structured PDEs (pseudospectral methods
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static structure. This multi-state docking approach will be based on a scoring function combining shape complementarity and approximate binding free energy in order to rank binding candidates while
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). - activities: For each of the objectives listed, the doctoral research will encompass (i) a literature review, (ii) the application of classification analysis methods (principal component analysis or cluster
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6 Mar 2026 Job Information Organisation/Company UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE Department Computer ingineering Research Field Engineering » Computer engineering Researcher Profile First
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applied methodologies in Data and Image Analysis, Computational Imaging, Statistical Learning, Uncertainty Quantification, Robust Estimation, and Deep Neural Networks. The group combines expertise in
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innovation, collaboration, methods, pedagogy Contact for HR: Please sent your application to institut-arts@univ-st-etienne.fr before the deadline 25 of May, 2026 23h59 (Paris Time), it should include