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environment. You will routinely use standard office equipment such as computers, phones, photocopiers, cloud-based systems, and AV/teleconferencing software & equipment. Physical Demands The physical demands
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play a key role in supporting the administration, coordination, and operational infrastructure of the Social Work Field Education Program. This position contributes to the effective delivery of field
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research annual leave 36 days well equipped facilities, the tools required for research: computer farms and cloud computing infrastructure, software, servers, etc. work in active an inspiring environment
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. Experience with machine learning frameworks and backend systems. Familiarity with cloud computing, API integration, data visualization, and database management. Ability to work in interdisciplinary research
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-scale distributed computing and performance-aware engineering. Demonstrated expertise in cloud architecture for scientific systems. Experience with DOE lab context and scientific priorities. Job
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solutions to deliver production-ready AI capabilities. Responsibilities Required Education: Bachelor's Degree in Computer Science, Engineering, Data Science, Data/Business Analytics, or related field
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environment. Demonstrated experience with incident, request, and change management processes. Experience supporting cloud-based platforms, particularly Microsoft Azure, including platform administration
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inference Develop distributed model training and inference architectures leveraging GPU-based compute resources Implement server-less and containerized solutions using Docker, Kubernetes, and cloud-native
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include cloud based Trusted Research Environments (TREs.), Microsoft Azure, SQL, Python and Git. You will be based within the Faculty of Health and Life Sciences, reporting to the CHIL CTO, and will work
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role that will serve as the primary technical resource for supporting and enhancing Oracle Cloud Project Portfolio Management (PPM) solutions across diverse stakeholder groups, including University