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reviews and implements improvements to reduce manual work, strengthen controls, and improve quality of information for decision-making. · Acts as the Faculty finance lead for implementing central
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team collaborates across the institution to shape smarter, more connected ways of teaching, learning and working. We’re strategic thinkers, problem-solvers, and innovators who turn big ideas into digital
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Please note that strong internal candidates have been identified. Information and Communications Technology (ICT), as strategic partners to the University, enables courageous curiosity by empowering
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to perform fast, thorough and accurate analysis and assimilate and compile large amounts of data/information in a short timeframe; Ability to accurately compile, compare, calculate, identify and summarize data
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
Position Details Position Information Position Title Administrative Coordinator, Career Development Office Research Project Department/Unit Schulich School of Law - General Location Halifax, Nova
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three (3) years directly related events coordination experience Demonstrated experience coordinating the logistics for small to large events is required Experience writing and editing itineraries
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Primary Purpose: The Data Systems Administrator is responsible for designing, operationalizing, and maintaining the digital infrastructure that supports research and innovation within the Nutrien
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to understand and apply a large amount of information and complex set of regulations and guidelines with minimal supervision Superior organizational skills with the ability to work well under pressure within a
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developing a maintenance plan for a large portfolio. Experience of working in a campus environment an asset. Familiarity with mixed use facilities such as office, industrial, research/labs, heritage, archival
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. The Research Methodologist will support data preparation and application of natural language processing (NLP) and other machine learning (ML) methods, including training and deploying large language models (LLMs