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procedures to stakeholders. You should be able to stay organized, follow up with colleagues on a daily basis with the status of their requests, and to pull information from multiple sources to complete error
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arrivals patient registration resolution of patient complaints collection and verification of demographic information and insurance/payer source information and correction of registration errors collection
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
describe any concerns to leadership in OSP and within the campus community. The position will collaborate with the Cost Accounting and Central Effort Manager to initiate, support, and implement corrective
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issues and ensuring accuracy Responsible for the preparation and payroll processing for institutions including balancing and review of all output, investigation, and correction of errors, with minimal
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barcode→(x,y) maps for Pixel‑seq; error correction; join gene/protein counts to spatial coordinates; QA of mapping rates. Segmentation & QC – 20% Apply/benchmark nuclei or whole‑cell segmentation (e.g
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. Signpost and advise students, staff or visitors to the correct support services both internally and externally. This may involve interacting with students in periods of distress/crisis and supporting our
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part of the job is to review, analyze, and correct any errors that arise during the cost distribution process, ensuring the accuracy of financial records. The position often includes reviewing labor
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) provides more in-depth information about Simula culture. Where to apply Website https://www.simula.no/careers/job-openings/phd-student-in-quantum-error-correct… Requirements Research FieldComputer science
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processing corrections to pay in the centralized financial system Developing, compiling, and summarizing data for routine reports and ad hoc financial management reports Researching and correcting
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, GNSS positioning is highly susceptible to errors from atmospheric distortions, multipath effects, and receiver noise. Recent advances in deep learning have shown that data-driven pseudorange correction