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Inria, the French national research institute for the digital sciences | Gif sur Yvette, le de France | France | 5 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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, infrastructure, and cultural heritage. However, automatically exploiting and analyzing these data remains a major challenge. The ModAM³ project aims to develop a new generation of artificial intelligence methods
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notification. 12. Application period: The competition is from 06/10/2026 to 19/10/2026. 13. Application Submission Method: Applications can be submitted through the UPB application submission portal (http
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 5 days ago
initiative between two Inria research teams: Gamble (Inria Nancy) and Ouragan (Inria Paris), in collaboration with the ANR StratMesh project. The objective is to develop new methods and reliable visualization
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Responsibilities Quantitative method development and computational modeling (45%) -Develop, implement, evaluate, and advance computational approaches for estimating spatially and temporally resolved air-pollutant
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Course Description & Learning Objectives: Bayesian methods are important tools for applied statisticians, biostatisticians, and data scientists. They provide a flexible framework for quantifying
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and an uncertain estimate of where the ground robot is. This position will develop the estimation and control methods these missions need and test them on real robots. The research will focus on one
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 7 hours ago
: Course Number and Title: STA380H5S LEC101 Computational Statistics Course Description: Computational methods play a central role in modern statistics and machine learning. This course aims to give an
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grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Dr Yingzhen Li (https://yingzhenli.net ) and her research group
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2 Oct 2026 Job Information Organisation/Company KU LEUVEN Research Field Engineering » Computer engineering Engineering » Biomedical engineering Computer science » Other Computer science