23 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" PhD research jobs in France
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preparation platform, SSMIM - Resources provided (equipment, IT, etc.): Computer workstation, binocular magnifying glass, analytical equipment (IRMS mass spectrometer) Where to apply Website https
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or Phonetics Basic knowledge of machine learning tools; familiarity with a scripting language Ability to communicate and coordinate with different partners: field linguists, computer scientists, engineers
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, the candidate will help the team on the following tasks and research areas : - improve integration of the framework with learning/inference framework (PyTorch, Keras, AIDGE, ...) - improve implementations of low
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to climate change) under the supervision of Dr. Ashley Shade in the “Bacterial Efflux and Environmental Resistance” team. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5557-BEABIG-045
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manager and maintain regular communication with all other relevant stakeholders. Where to apply Website https://utc.recruitee.com/o/chercheur-contractuel-fh-modeles-predictifs-securit… Requirements Research
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in the Khaybar oasis during the Islamic period. The researcher will be hosted within the UMR 7298 team in Aix-en-Provence. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7298-DIAALB
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) - Organisation - Autonomy - Interdisciplinary skills Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7252-PIEBON-004/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD
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stockage supercapacitif (Maxwell Technologies) 0,294kWh 300V/23,5F; – 2 programmable electronic loads 1 dial (POWER +) 6kW 500V-50A; The recruited person will have access to STELLA platform (https
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offer state-of-the art instrumentation and expertise in the fields of flow cytometry, electron and photonic microscopy, proteomics. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7592
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simulations, optimisation, machine learning and turbulence modeling. The researcher must hold a Phd in fluid mechanics / Applied mathematic / Machine Learning. Website for additional job details https