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well as data modeling, data mapping, data structures, and data integration concepts including SOA, ETLs, ESBs, MOMs, EAI, enterprise integration patterns, and SQL/DDL/DML. Experience using standard development
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cancer cohorts. • Proven ability to develop novel computational and AI-driven methodologies, including Bayesian generative models, phylogenetic inference tools, and algorithms for multimodal data
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renewable energy and consumer electronics to drugs. AC Staff Scientists will advance the infield of AI-driven autonomous discovery and develop the materials and molecules required to address society’s largest
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Organizational Unit: Aquatic and Crop Resource Development Classification: MGT-4 Tenure: Continuing Language Requirements: Bilingual Imperative CBC/CBC Work arrangements: Due to the nature of the work and
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financial models for use in critical decision making. The Senior Financial Analyst consults senior level management to develop and implement new policies and continuously review procedures to enable effective
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Lunenfeld-Tanenbaum Research Institute | Central Toronto Roselawn, Ontario | Canada | about 5 hours ago
provides competitive start-up packages and salaries, commensurate with experience and qualifications. We are seeking new colleagues who will develop innovative, outstanding and independent research programs
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
staff foster a vibrant, purpose-driven community, that celebrated 200 years of academic excellence in 2018. Job Summary The AI-Enhanced Biogeochemical Modelling and Digital Ocean Science Services project
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be discussed between you and the leader. How you'll contribute Prepare for classes prior to delivery Develop quality presentations for students Attend all SAIT training as required Achievement
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-driven decision-making models. Advanced skills in the Microsoft Office Suite (Word, Excel, PowerPoint, Outlook, Teams), with demonstrated expertise in SharePoint. Strong critical thinking, decision-making
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assistants, and Model Context Protocol (MCP) tools/servers, to extend UBC’s teaching and learning ecosystem. Designs and builds agentic AI tools and workflows and adopts AI-assisted development tooling