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group encompasses expertise in AI, data science, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling
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, shell scripting, networking, and web servers as well as cloud services, such as AWS or Azure. Client and server-side coding, server-side programming language and/or web framework (e.g., Ruby/Rails, PHP
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Experienced: You possess a tertiary qualification in Computer Technology or a related field, bolstered by extensive experience managing complex projects across large, diverse organisations. Expert in Cloud
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of USask’s on-premises data warehouse to Microsoft Fabric, a cloud-based business intelligence solution. Nature of Work: The Business Intelligence Intern will collaborate with the Reporting and Data Systems
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hardware; optimization techniques for high-performance multicore processors; innovative hardware solutions targeting cybersecurity resilience; leveraging AI and cloud technologies in EDA; edge computing and
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, highly reliable and fault-tolerant systems on advanced computing architectures including cloud computing infrastructure. Architect, design, and deploy software applications based on business requirements
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-environment relationships, and Geographic Information Science and Technology (GIST), and Environmental Programs in Geosciences. We are based in the College of Arts & Sciences ( https://artsci.tamu.edu
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Department of Computer Science and the Data Science Institute. Learn more about the lab and its research here: https://nunez-comp-mental-health-cancer-care.github.io/ . RESPONSIBILITIES Reporting to Dr. John
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and maintain cloud-based computing system and network infrastructure. • Design, setup, configure and troubleshoot network systems. • Setup, configure, and troubleshoot server systems with
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cloud/on-prem platforms using tools such as Mulesoft, Jitterbit, or equivalent. Develop pipelines, ETL/ELT processes, and API-based data flows across internal and external systems. Conduct data analysis