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over the course of the project. References: - Deneu B et al (2021) Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. PLoS Comput
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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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Research axis of the 3IA: Axis 3 - AI for Computational Biology and Bio-inspired AI Supervisor (3IA Chair): Emanuele Natale, Sophia Antipolis Laboratory for Computer Science, Signals and Systems
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Laboratoire de
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The American University of Paris invites applications for a full-time position in the Department of Computer Science, Mathematics and Environmental Science at the rank of Assistant Professor
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. Processing this response provides estimates of the local variations in acoustic pressure along the fiber, over distances ranging from 40km up to 140km with some systems. This technique, called Distributed
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25 Aug 2025 Job Information Organisation/Company The American University of Paris Department Computer Science, Mathematics and Environmental Scienece Research Field Computer science Researcher
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) Established Researcher (R3) Country France Application Deadline 30 Dec 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 12 days ago
21 Aug 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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at various levels (Bachelor, Master, PhD) Provide lectures in Theoretical Computer Science for bachelor and master programs Advise PhD candidates and contribute to doctoral and postdoctoral training (e.g