317 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" "St" "St" research jobs at CNRS
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/InstituteMaison de la SimulationCountryFranceCityST AUBINGeofield Contact City ST AUBIN Website http://www.maisondelasimulation.fr STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options
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interface. - Deployment, compilation, and execution of the ECCO-Darwin model on the supercomputer - Numerical developments on the ECCO-Darwin model code - Analysis of numerical model outputs - Processing and
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of Rouen, Mont Saint Aignan. This contract is funded by the Emergence region Normandie program. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR6064-THIGAL-003/Candidater.aspx Requirements
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Language Processing, can be used to extract linguistic knowledge, particularly concerning tones. The main object of investigation will be the Yongning Na language (ISO code: NRU). This work, based on fine-tuning models
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Contact City ST MARTIN D HERES Website http://isterre.fr/ STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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for integrated photonics perspectives. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9001-MATJEA-001/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent
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at the Plant Reproduction and Development Laboratory (RPD, CNRS UMR 5667, Lyon), see https://www.ens-lyon.fr/RDP/signalisation-cellulaire-et-endomembranes/ Our added bonuses: • A stimulating work environment in
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the supervision of an observatory physicist. Collaboration and interaction are planned with research engineers and researchers who use the unit's GNSS and InSAR data and tools. Where to apply Website https
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City ST MARTIN D HERES Website http://ipag.osug.fr/ STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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the AliceVision library. Activity 3: Critical Code Optimization (C++/CUDA) - Adapt the code to drastically reduce computation times (target: < 1h). - Replace proprietary dependencies (InstantNGP) with a flexible