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Leveraging the spatio-temporal coherence of distributed fiber optic sensing data with Machine Learning methods on Riemannian manifolds Apply by sending an email directly to the supervisor
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Acoustic Sensing (DAS), is currently experiencing growing interest in an increasing number of applications, e.g., traffic transportation monitoring, structural health monitoring, and natural hazards
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management is a plus. Rigor, motivation, scientific creativity and originality, writing skills, conciseness, sense of priority and ability to work in a team. Languages: fluent command of English, knowledge
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. SequoIA focuses on urban monitoring using Distributed Acoustic Sensing, a technique that repurposes existing telecom optical fibers as continuous, high-resolution seismo-acoustic sensors. This passive and
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limitation of all these techniques is that they are all indirect, in the sense that the loss function that is optimised is not the imputation error. The main challenge is that, in practice, we do not have
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employees feel valued, supported and empowered to reach their professional potential. Enjoy lots of employee benefits: Financial incentives: Monthly family and child allowances, generous stipend reviewed
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with mouse models of infection will be appreciated. We are looking for strongly motivated and highly collaborative candidates having good communication skills in English and a sense of team spirit
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of Probability Theory and Statistics A taste for the theory of Mathematical Statistics and its applications Dedication to doing Mathematics at a research level Proficient in English We offer Multilingual and
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mouse models (FELASA or equivalent certification); Ability to handle and analyze large-scale omics data; Experience with gene cloning. Soft Skills: Strong sense of initiative, rigor, and motivation
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-driven inflammation in lung cancer using genetically modified mice. This research aims to establish a critical link between DNA sensing and the inflammation that propels tumorigenesis, providing new