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information and present findings to senior management using tools such as Python and Power BI; Apply statistical, analytical, and forecasting methodologies; Manage multiple projects through all stages
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-source models like LLaMA, Mistral, or Falcon, etc). Implement Retrieval-Augmented Generation pipelines to enhance model performance on domain-specific tasks. Integrate and coordinate multiple AI agents and
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Analyst, People Analyst, or Business Intelligence role within a heavily unionized, post-secondary environment. Demonstrated experience in: • Analyzing large human resources datasets from multiple sources
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we think about the world. Your opportunity: The Data Sciences Institute (DSI) is a highly specialized research initiative at the University that draws on world-class research expertise across multiple
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managing multiple projects, including multi-site research studies, and supporting the full scope of data generation and analysis of bacterial and host genomics and transcriptomics. This Research Associate is
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experience to join Dr. Manish Sadarangani’s team at the VEC. The position will involve managing multiple projects, including multi-site research studies, and supporting the full scope of data generation and
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. The position will involve managing multiple projects, including multi-site research studies, and supporting the full scope of data generation and analysis of bacterial and host genomics and transcriptomics
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/or venture management Experience and confidence working with high performing teams and multiple stakeholders Highly organized with strong project management experience Strong analytical ability and
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technologies, network stack, complex storage systems (e.g., ZFS), database systems, and scripting/programming languages such as Python, Perl, Bash, Java, PowerShell, and PHP. Customer service experience
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types—such as clinical, imaging and behavioral data—originating from multiple internal and external research groups. Responsibilities include implementing new features, enhancing existing functionality