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Staff Union Non-Union Non-Classified Staff Pay Grade Level N/A Pay Grade Range N/A Status Calendar Year, Full-time, Limited Department Information Department Elec, Computer & Bio Engr Contact(s) Please
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Staff Union Non-Union Non-Classified Staff Pay Grade Level N/A Pay Grade Range N/A Status Calendar Year, Full-time, Limited Department Information Department Elec, Computer & Bio Engr Contact(s) Please
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demonstrated ability to work across disciplines. Areas of methods focus may include, but are not limited to, machine learning, AI, deep learning, digital experimentation, natural language processing, network
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learning and/or career education. 3. Demonstrated experience in computer and web-based skills (including career database and/or online teaching platforms, video communication and social media platforms
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computer skills (including spreadsheet, database management, query and Microsoft Office products). 4. Demonstrated strong interpersonal and verbal communication skills. 5. Demonstrated proficiency with
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operation of the libraries’ digital infrastructure, with a primary focus on public-facing applications supporting learning and scholarship at URI. Collaborate closely with peers within URI Libraries and
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operation of the libraries’ digital infrastructure, with a primary focus on public-facing applications supporting learning and scholarship at URI. Collaborate closely with peers within URI Libraries and
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, large dataset analysis, machine learning, text analysis, meta-analysis, neural data analysis, network data analysis, time series analysis, and tensor data analysis are especially encouraged to apply. 2
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organizational development experience. 5. Demonstrated ability to maintain confidentiality. 6. Demonstrated knowledge of assessment and learning outcome measurements. 7. Demonstrated experience with data-driven
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organizational development experience. 5. Demonstrated ability to maintain confidentiality. 6. Demonstrated knowledge of assessment and learning outcome measurements. 7. Demonstrated experience with data-driven