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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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surrogate models and experimental data from a pilot-scale settler are available. The project offers close supervision from doctoral researchers in machine learning and process control. Your Profile
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framework of the ANR Lamorsim project ( https://anr.fr/Project-ANR-23-CE08-0029 ). The main objective of this project is to develop methodologies for controlled laser-induced amorphization of silicon. In
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Inria, the French national research institute for the digital sciences | Gif-sur-Yvette, Île-de-France | France | 3 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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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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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 3 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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, software developed in collaboration with the RDP laboratory, to analyze the data he/she produces. He/she will actively participate in the design of experiments and implement them autonomously. The
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-based characterization techniques, requiring visualizing, analysis and interpretation of experimental data. The research results shall be published in peer-reviewed scientific journals and presented at
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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