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application of these data to estimate predation impacts on commercially important species. Through integration of field sampling, laboratory analysis, and data management, this role helps provide the scientific
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 12 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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, Psychology (Extended Temporary) Posting Number req25722 Department Psychology Department Website Link https://psychology.arizona.edu Location Tucson Campus Address Tucson, AZ USA Position Highlights In
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of the center's researchers. Integrate precipitation data to support the maintenance and improvement of algorithms for improving precipitation estimates by combining radar and rain gauge data. Develop methods
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. Integrate precipitation data with collaboration in the maintenance and improvement of algorithms for improving precipitation estimates by combining radar and rain gauge data. Develop methods
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projects is acceptable. Industry experience is preferred. Knowledge, Skills, and Abilities Technical and Analytical Foundations Solid understanding of statistical methods, regression, hypothesis testing, and
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optimization-based network partitioning point to scalable, communication-aware control designs; stochastic MPC and co-design studies demonstrate methods for handling uncertainty and jointly optimizing assets and
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of advanced modelling and machine learning methods, and may involve the following areas: Dimensionality reduction. Data-driven methods for estimating dynamical models Data-driven methods for estimating
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search will be used to explore combinations. Results: The developed methods are intended to allow the training of balanced but also specialised computer vision models, particularly in the field of face
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, Microsoft PowerPoint, Microsoft Outlook Required Other Computer Applications: Required Additional Knowledge, Skills and Abilities: 1) Knowledge of the principles and methods of Indigenous education 2