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around the world to help them navigate complex legal and policy hurdles and transition, among other things, to big data and AI learning systems under a comparative, international ecosystem approach. Under
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work collaboratively with Enterprise Data Governance (EDG), Business Analysts, Solution Architects, and the Integration Enablement Center (IEC) to implement large-scale Data Migration/Conversion
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requirements Demonstrated experience working with large and complex data sets, as well as experience analyzing volumes of data Demonstrated experience in creating data models and datasets Experience with Tableau
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project management role, with clear understanding of design and construction practices and methodology, along with project management leadership for large complex project delivery and partnerships
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 10 hours ago
Position Details Position Information Position Title Groundskeeper Department/Unit Facilities Management Location Halifax, Nova Scotia, Canada Posting Number FM46-25 Employee Group NSGEU Local 99
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facility with large animals and small animals, which exposes employees to animal dander, waste, and unpredictability. Subject to some unpleasant odors, dress code, and traffic pattern restrictions. Subject
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, or neuron–glia interactions; • Combine optogenetic tools to target specific cell types, large-scale cellular imaging, and multi-electrode recordings in behaving animals; • Promote the development and
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. • Ability to work with large data sets and proficiency with various business intelligence and data analysis tools such as Power Query, Power Pivot, and Power BI is an asset. • Strong critical thinking and
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, diabetes, inflammatory conditions, and genetic disorders among others. Large-scale health data has been collected through multiple research initiatives and platforms. Within the LTRI, the Prosserman Centre
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storage, research data management and training services Providing or arranging training for researchers in specialized areas of Advanced Research Computing, e.g. Big Data processing, parallel programming