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information Ensure the accuracy and integrity of the academic record through error reporting and resolving data issues Interpret and apply institutional policies and procedures Identify system anomalies and
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following the specifications of the project’s analysis plans Extract and merge large data sets from different sources (administrative data, survey data, clinical data, etc.) according to data creation plans
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to write and communicate clearly Preferred Qualifications Experience with high performance computer clusters Experience with the analysis of large datasets Good understanding of immunology Any kind
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rates expected by simulations have provided conflicting results. Large samples of detections are necessary, and a wealth of publicly available data exists in ALMA’s archive waiting to be examined
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understanding of events management, continuing education, and maintaining data integrity are essential. Experience working closely with faculty and staff is an asset in a post-secondary or other large
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(quantitative and qualitative). They must also have experience working with large datasets and producing high-quality data visualizations and linking agronomic and genetic factors. Experience in Python/R would be
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responsible for supporting and growing the University’s large and complex Core Enterprise Data Network. UBC’s data network is highly virtualized and one of the largest in North America with multiple core hub
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Date Posted: 11/03/2025 Req ID:45866 Faculty/Division: VP - University Operations Department: Chief Information Officer Campus: St. George (Downtown Toronto) Description: Working under the direction
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experience as a CIO, CISO, or senior IT leader overseeing cybersecurity in large, complex, and distributed organizations. Experience in environments with high research intensity, sensitive data, and/or complex
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Date Posted: 11/04/2025 Req ID:45867 Faculty/Division: VP - University Operations Department: Chief Information Officer Campus: St. George (Downtown Toronto) Description: Reporting to the Associate