288 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Toronto in Canada
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Sessional Lecturer-eMHI2003H Emerging Applications in Consumer, Public and Global Health Informatics
Sessional Lecturer Position Posting Date: February 9, 2026 Program: Executive Master of Health Informatics (eMHI) Sessional Dates of Appointment: Summer 2026, May to August Existing Vacancy: Yes
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 19 hours ago
of Toronto Scarborough (UTSC) invites applications for a full-time, tenure stream position in Computational Biology and Data Science applied to Biological Systems and Biomedical Sciences. The appointment will
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critical role in defining the future of research and administrative computing at the University. In this role, you will lead the architectural design and deployment of secure, scalable AI platforms
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, Linux servers, databases, and Azure cloud services), you will deploy, install, and support the maintenance and availability of these services. Your proven ability to work collaboratively in a team
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related to Service Cloud, Experience Cloud, Education Cloud and Salesforce products associated with product outcomes. You will achieve these outcomes using Configuration, object-oriented programming
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. Evaluates and selects appropriate foundational models (OpenSource vs. Proprietary) and hosting strategies (Azure AI Foundry, AWS Bedrock, local GPU/TPU), directly influencing the University's cloud spend and
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asset tracking, lifecycle documentation, and accountability of mobile and enforcement equipment. Provide leadership and operational oversight for the PPS Remotely Piloted Aircraft System (RPAS) program
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the Procurement Management Division (PMD) of the Ministry of SaskBuilds and Procurement is responsible for the operation and maintenance of the Supply Chain modules within an Oracle Cloud based system. The SCE
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troubleshooting skills Must have in-depth experience working with a range of computing environments, equipment and software including cloud technologies, Unix/Linux (workstations, servers), Windows (servers
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Experience with cluster computing and job scheduling systems (e.g. Slurm, HTCondor), containerization (e.g. Docker, Kubernetes) and cloud infrastructures (e.g. OpenStack, AWS). Strong debugging/bug-tracking