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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
analyzing distributed, uncertain, and interconnected dynamical systems with the design of estimation and control algorithms using the concepts of finite-time/fixed-time/hyperexponential convergence and
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expected to start on May 1st, 2025, but a later date can be considered. The successful candidate will work on the time generation and clock distribution system for the Hyper-Kamiokande far detector and
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respiration, heat flow, precipitation, air/soil temperature. The data are organized and distributed in the information system of SNO-Tourbières, https://data-snot.cnrs.fr/data-access/ ; see also ICOS Carbon
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14 Feb 2025 Job Information Organisation/Company CNRS Department Centre de recherche en Paléontologie, Paris Research Field Geosciences Astronomy Environmental science Researcher Profile First Stage
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26 Feb 2025 Job Information Organisation/Company CNRS Department Laboratoire de physique des plasmas Research Field Astronomy Astronomy » Astrophysics Astronomy » Cosmology Researcher Profile First
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. The research themes of the Autonomous Critical Embedded Systems (ACES) team revolve around concurrent systems in general (parallel systems, distributed systems, etc.), for which non-functional properties such as
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, carried out in collaboration with Laboratoire Kastler Brossel, a fiber-optic microcavity is installed on an atom chip to prepare and detect compressed spin states. State tomography of the spin distribution
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10 Feb 2025 Job Information Organisation/Company IMT - Institut Mines-Télécom Research Field Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country France
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4 Mar 2025 Job Information Organisation/Company CNRS Department Institut des sciences analytiques et de physico-chimie pour l'environnement et les matériaux Research Field Biological sciences
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on the combination of plant species, vertical (multiple strata) and horizontal distribution of trees, system management, etc. This spatial heterogeneity of agroforestry systems makes it difficult to predict