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staff to produce and revise the academic schedule in accordance with University timelines and policies. Identify and resolve scheduling errors, generate reports, analyze large data sets, and ensure
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high-level content strategies to support the successful achievement of departmental business objectives. This position is responsible for conducting ongoing market research, project evaluation and data
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updates to and maintain student record information Ensure the accuracy and integrity of the academic record through error reporting and resolving data issues Interpret and apply institutional policies and
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epigenetics, genomics, multiomics, big data and machine learning an asset. · Is willing to learn new techniques and novel analysis methods for application. · Skills in R required. · Experience
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 3 hours ago
collaborative ties with the affiliated hospitals of Nova Scotia Health and the IWK Health Centre in Halifax. The successful candidate will have an opportunity to be part of the Big Data Analytics, AI & Machine
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of building school pride and driving game attendance. We have several large-scale events that we promote and support during the school year along with a steady schedule of games that take place each week during
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and research; and financial stewardship. The Faculty of Art invites applications for the following anticipated course offerings in the Fall 2025 term: PHOT-3001: Medium & Large Format (0.5 credit
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and Context: Pediatric neuroimaging research has accelerated the demand for engagement in large multi-centre translational clinical research studies, to enable integrated data exploration and prediction
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Thebault labs are seeking a skilled and motivated Research Assistant to support data analysis and pipeline development for cutting-edge research in neuroinflammation, multiple sclerosis, and
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
increasingly utilizes big data, satellite imagery, register data, and advanced methods such as deep learning and neural networks to address major societal challenges related to spatial inequalities and