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future. Responsibilities Enters information into computerized information systems. Researches and evaluates all documents for accuracy and completeness to ensure correct data is entered. Reviews input
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Application Deadline: 31 October 2025 Details NLP and Educational Technology (EdTech) have advanced rapidly with LLMs and multimodal AI. Yet most tools remain focused on one-to-one tutoring (e.g., grammar error
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for the management’s approval to ensure all transactions are correct. Make the necessary correction to expenses posted in error within the period allowed, then work with the owners of the source document to ensure
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to mitigate potential system errors and cross-check functionality of existing batch processes. Review reconciliation reports on a monthly basis to ensure all financial data is accurate between Peoplesoft and
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the subaward invoice, reviewing and forwarding to PI for approval. Checks for accuracy and provides complex troubleshooting error resolutions/solutions for fund profile setups and financial reports. Creates
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periodic financial reviews; identify and correct errors or variances in a timely manner. Prepare and submit accurate and timely financial reports to sponsoring agencies. Coordinate proactively with RMC’s
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the GL and project ledger, reconciles project-only fund types 155, 156, and 157, ensures year-end balances are accurate, and educates departments on correcting errors. Performs monthly, quarterly, and year
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purposes. Supports the payroll accounting function by processing bi-weekly and off-cycle payrolls in the system to identify and correct configuration errors in the general ledger (GL) distribution process
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
technology issues. Investigative, data analysis, and reporting skills. Ability to generate computer reports, checking for errors, correcting and submitting accurate reports. Skills include entering
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Compression of quantum data under unreliable entanglement assistance Joint compression and error correction for robust communication in the quantum-classical internet Quantum embeddings for machine learning