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This position will serve as the Adirondack Harvest Program Leader for Cornell Cooperative Extension Association of Essex County and will work under the direction and supervision of the Agriculture
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brand storytelling assets that are optimized for digital ecosystem distribution. Own and manage social content publishing platforms inclusive of but not limited to LinkedIn, Meta, YouTube, WeChat, Little
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fragile materials with care. Requirements: Minimum Qualifications: A Master's degree in Library and Information Science from an ALA-accredited program from a college or university accredited by a U.S
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the implementation of next-generation database management and intelligent data distribution solutions across IBDI. Establish modern practices for large-scale database curation, integration, and standardization
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agenda through the following activities: Design and conduct program evaluations, including: Logic model development, evaluation plan development, and evaluation framework selection for multi-site and multi
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State University of New York University at Albany | Albany, New York | United States | about 14 hours ago
: Design and conduct program evaluations, including: Logic model development, evaluation plan development, and evaluation framework selection for multi-site and multi-year projects. Provide responsible
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. Cybersecurity, including decentralised/distributed trusted systems; biometrics; computer forensics; data, media content and related applications security and privacy; software and system security; information
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Bayesian approach (Lages, 2024). Techniques used: Computational modelling, Bayesian inference, sampling and simulation techniques, prior distributions and posterior predictive checks, model comparison
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Cybersecurity, including decentralised/distributed trusted systems; biometrics; computer forensics; data, media content and related applications security and privacy; software and system security; information
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based on electronic medical records. It is also attractive for novel applications, e.g. multimodal applications in meta-verse, which have little data for training and evaluation. This project focuses