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, you will maintain and develop a research-oriented lab environment, manage cloud environments, administer the systems to maintain these environments, and embed with researchers to ensure their needs
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massive images, videos, 3D point clouds, and other data; design and build deep learning models, conduct model training, evaluation, and iterative optimization; perform model lightweight design for specific
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centered on Microsoft Azure and related AI cloud technologies with High Performance Computing (HPC) for on premise AI environments and Azure, AWS, and GCP for off premise environments. Major Duties
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to determine the timing, nature and complexity of the billings and enter into to the Financials in the Cloud (FITC) Grants system for Accounts Receivable (AR) and Invoicing. Provide backup for drawdowns from
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attendance being required as and when the demands of the business require. This role is within the Infrastructure section; which has responsibility for Data Storage, Servers, Cloud, Virtualisation, Operating
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Research Infrastructure and the American Science Cloud. In this role, you will be responsible for supporting our user community to adapt and optimize their workflows for High Performance Computing (HPC
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server, storage, and private cloud platforms that power the University’s academic, research, and administrative systems. Our team delivers secure, resilient, and cost-effective infrastructure solutions
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and briefs MEI Associate Director. Monitors and maintains MEI’s general email account and Salesforce Marketing Cloud inbox. Events: Coordinates and executes MEI’s events with visiting dignitaries
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arrangements available. What you will bring You will have: Proven line management or supervisory experience. Significant experience delivering managed endpoint services at scale, ideally using cloud-based
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of the University’s internal network, including customer-facing hosted and cloud environments. Moreover, an employee in this position provides expert technical assistance to team members with high-level system and