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Inria, the French national research institute for the digital sciences | Gif-sur-Yvette, Île-de-France | France | 7 days ago
contains a 1,024-point 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
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partners in Nice and Paris. Occasional travel as part of these collaborations will be required. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5305-CEDCHA-001/Default.aspx Requirements
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the installation, calibration, and routine operation of the instrument, while spearheading advanced data processing (XANES/EXAFS). He/She will manage academic and industrial user access, coordinate
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supervised models on downstream regression tasks. A key challenge lies in effectively modeling the temporal nature of EO data. Since downstream applications require varying temporal resolutions and sequence
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. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9197-ODILEC2-197/Default.aspx Requirements Research Field Biological sciences Education Level PhD or equivalent Research Field Biological
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 7 days ago
these raw data. Such a processing is performed by scientific softwares called calibration and imaging pipelines. One of the current worldwide interferometric pipeline for radio-telescopes is DDF
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for dedicated implementations of latent reasoning. These investigations will be grounded in hardware through co-design of neuromorphic hardware to improve accuracy, latency, data efficiency, and energy
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different types of experimental data to establish reliable methods for identifying physically meaningful model parameters and assessing model accuracy under dynamic operating conditions. In a later stage
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University. IGE website: https://www.ige-grenoble.fr Activities Analyse and harmonise MOSAiC data to investigate discrepancies between observations and Arctic ozone simulations Use machine learning
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accuracy through data-driven modeling and parameter estimation techniques. A comprehensive experimental dataset is already available, with the possibility of conducting additional experiments if required