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. The monitoring of telecommunications and energy production and distribution networks are characteristic examples of such time-critical applications. The project aims to propose unsupervised online CPD algorithms
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, sensor failures, or the aggregation of datasets from multiple sources. There is a rich literature on how to impute missing values, for example, considering the EM algorithm [Dempster et al., 1977], low
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modeling the dynamic of the data evolution is clearly important. The purpose of this postdoc position, within the Institut 3IA Côte d'Azur (Univ. Côte d’Azur & INRIA), will be focused on the development and
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their recruitment process. Submission/evaluation process Application should be submitted by e-mail to contact-sysmics@univ-nantes.fr by the 31th October 2025 at 23.59 CET. Email subject line : Junior Postdoc
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) to recognized researcher (R2) Working environment The team, based at Institut Pasteur de Lille, includes 15 members (4 researchers, 3 engineers, 1 technician, 5 postdocs, and 2 PhD students). Since its creation
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
of this project requires the design, development, and training of an artificial intelligence algorithm capable of automatically segmenting the bony structures of both healthy and fractured tibial plateaus
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clinical trials through the group of Prof Tejpar will put the postdoc in an ideal position to understand how the stromal interactions change under current novel treatments and could be harnessed as future
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minimizing error and maximizing efficiency, is computationally challenging—no known polynomial-time algorithm exists to solve it optimally in all cases. Because of this complexity, researchers typically rely
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biologically-grounded spiking neural network model of active forgetting, focusing on the neuroscientific aspects of unlearning. This postdoc project is complementing the latter direction by focusing
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techniques and the structure of bilevel problems in large-scale settings. Objectives The goal of this postdoctoral project is to develop scalable blackbox optimization algorithms tailored to bilevel problems