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. Proficiency in utilizing and trouble-shooting issues with computer applications and online platforms (i.e. MS Office, Zoom, shared cloud storage spaces, databases, Handshake etc.). DESIRED QUALIFICATIONS
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discovered Cepheids in double-lined spectroscopic binary (SB2) systems in the Milky Way and the Magellanic Clouds. This work aims to significantly increase the sample size of binary Cepheids with measured
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chillers, boilers, steam turbines, electric generators, pumps, air compressors, and water treatment systems. Software Proficiency: Google Cloud Services and Microsoft Office Suite. Assetworks (AiM) and
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that enable networks to autonomously mitigate failures and to dynamically adapt to changing conditions, while ensuring reliable service delivery across cloud/edge/terrestrial/non-terrestrial infrastructures
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Functions: 60% of the time the Cloud Developer 1 must: Support and Maintain Data Pipelines: Assist in monitoring, troubleshooting, and resolving issues in data workflows, scripts, Lambdas, Step Functions, and
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delivery and refactor code for peak performance with cloud platforms (Azure, AWS, Google Cloud) and/or containerization technologies (Docker, Kubernetes) supporting or developing multiple enterprise
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applications for a Postdoctoral Research Associate in Transportation Systems Modeling, Computing, and Cloud-Based Mobility Analytics Platforms as part of the CTECH Postdoctoral Fellows Program. This position
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 4 days ago
Professor ME Luka, Acting Chair of the Department of Arts, Culture and Media, University of Toronto Scarborough using the online application system found at https://www.utsc.utoronto.ca/webapps/cupehiring
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performance, reliability, and scalability. Partner with engineers to modernize pipelines using automation, cloud-native patterns, and best practices in data engineering. Ensure strong data quality, validation
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in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Derivation of closed-form theoretical latency and timeliness expressions for cloud-hosted