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; • analyze the role of Cloud Computing as an enabler for the introduction and development of emerging technologies such as quantum solutions; • examine the development of Cloud Computing services dedicated
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implement cloud-native data pipelines connecting lab instruments, databases, and AI models Support model deployment, inference services, and experiment tracking (e.g., MLflow) Integrate LLM reasoning with
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, including complex agreements for software, hardware, and cloud services. Conduct financial and risk analysis to support data-driven procurement decisions. Develop long-term sourcing strategies and maintain
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systems (SQL/NoSQL). Experience with cloud platforms (AWS, GCP, Azure) for deployment and scaling Educational Requirements: Hold at least a Bachelor's degree in Computer Science, Software Engineering, Data
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responsibilities will focus on delivering enhancements requested by business for existing applications. ● Documentation and Maintenance: Add to team-level internal and external program documentation. Monitor and
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Department of Computing is seeking a dedicated and skilled individual to manage our internal large-scale GPU infrastructure and cloud facilities. About the role The Department of Computing wishes
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Technical Associate (Senior Enterprise Engineer - Data Management Team) proactively manages, maintains, and influences UI Health's Enterprise computing environment which includes on premises and cloud
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14 Jan 2026 Job Information Organisation/Company Rīga Stradiņš University Research Field Computer science » Modelling tools Medical sciences » Health sciences Technology » Medical technology
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. Proficiency with cloud platforms such as Azure, AWS, or GCP, including GPU-based compute environments. Experience with monitoring and observability tools (e.g., dashboards, metrics collection, alerting systems
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Emirates Application Deadline 4 Feb 2026 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job