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Computational Cost by Machine Learning and DFT-Based Data, Journal of Chemical Theory and Computation, 2024, 20 (16), 7287–7299. Funding category: Contrat doctoral PHD Country: France Where to apply Website https
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 6 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09928 Requirements Skills/Qualifications Profile: - The candidate is completing a Master's or engineering’s degree in Computer Vision, Electrical
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measurement technique development, atmospheric modelling, and advanced methods for integrating observational and model data through data assimilation and machine learning. About the research project The overall
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records of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general
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of the University in teaching, learning, and research. The personnel of UDAR work university-wide as well as within individual schools and colleges of the University to discover, motivate, cultivate, solicit, and
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will be considered to meet the criteria, or equivalent military training in Surgical Technology. One (1) year work experience in an Operating Room participating as a Scrub Technologist across a wide
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resources of CESAM, including its Machine Learning and Deep Learning hub, • close collaborations with ONERA. The successful candidate will work in a multidisciplinary environment bringing together researchers
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Summary Assist with online classrooms at graduate and/or undergraduate levels in the Instructional Design & Technology program and/or the Management & Technology major. May participate in
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student assistants Utilize computer technology to maintain and enter comprehensive files for individual students ensuring accuracy and strict FERPA compliance The successful candidate will have computer
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: XML/XSL, CSS An interest in learning new tools and methods Formal Training classes on PeopleSoft Tools and technology Work Hours Core Hours: Generally normal business hours (8:00am to 4:30pm Monday