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, the required material must be uploaded as ONE document under CV/ Resume (do not upload individual files for a cover letter, references, etc.). The document must be in .doc, .docx, .pdf, .rtf, or text
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of the greatest cities in the world. HOW TO APPLY Applications must be submitted online by accessing the CUNY portal on city university of New York job website www.cuny.edu/employment or https://cuny.jobs/ and
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situated in the field of machine learning. Potential research topics include, but are not limited to, algorithmic knowledge discovery, graph mining and social network analysis, optimization for machine
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must be submitted online by accessing the CUNY Portal on City University of New York job website www.cuny.edu/employment or https://cuny.jobs/ and following the CUNYfirst Job System Instructions
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Physical Location of Position (City) Vermillion Posting Text The Beacom School of Business at The University of South Dakota is a vibrant, internationally accredited business school that has served students
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Physical Location of Position (City) Vermillion Posting Text The Beacom School of Business at The University of South Dakota is a vibrant, internationally accredited business school that has served students
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for a cover letter, references, etc.). The document must be in .doc, .docx, .pdf, .rtf, or text format- and name of file should not exceed ten (10) characters - also DO NOT USE SYMBOLS (such as accents (é
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/ Resume (do not upload individual files for a cover letter, references, etc.). The document must be in .doc, .docx, .pdf, .rtf, or text format- and name of file should not exceed ten (10) characters - also
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expert searching practices. Explores new tools and approaches, including text and data mining and artificial intelligence applications. Works with the Coordinating Bibliographer for Dental Medicine
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 3 months ago
, W. Unveiling Explainable AI in Healthcare: Current Trends, Challenges, and Future Directions. WIREs Data Mining Knowl Discov, 2025, 15(2):e70018. https://doi.org/10.1002/widm.70018 Abbas, Q., Jeong