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Field
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natural language processing (orthography normalization, grammatical error correction, morphology tagging, syntax parsing, readability assessment), machine translation, and text analytics. Since its
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
the start date, a PhD in Data Science, Computer Science, Electrical Engineering, Electrical and Computer Engineering, or a closely related field. The applicant’s research should focus on machine learning
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economy. As a postdoctoral researcher, you will unravel how silicon suppresses liquid copper infiltration at the atomic scale, using density functional theory-accurate machine-learned potentials and
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
research subject:https://www.defrost.inria.fr/project/horizon-europe-ire-2024-2028/ (project page) and https://www.defrost.inria.fr/research/publications/ (DEFROST team publications) Collaboration
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Our team is seeking a highly motivated Research Assistant to contribute to cutting-edge research in embodied AI and
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programming languages is required, and experience with the current ATLAS software, computing and particularly the tracking software would be particularly desirable. Experience with machine learning and
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with H2 generation from electric power. Qualified candidates will have a strong quantitative background in a relevant discipline (e.g., environmental engineering, Earth sciences, climate economics
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(e.g., PM2.5, NO2, and SO2) over the United Sates for electric utility air permitting. The postdoc will also have the opportunity to work on other topics related to air quality modeling, remote sensing
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high proficiency in R and/or other computer programming languages. Applicants in All But Degree Status will be considered for interviews. Preferred Qualifications Experience with computational
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plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation