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Field
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and research teams to design and/or adopt scalable, secure, and reproducible computational research environments throughout the research lifecycle. This includes designing and maintaining research
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to execute diverse protocols and maintain documentation while adhering to established laboratory safety requirements. Ability to critically evaluate scientific literature to understand and adopt or adapt new
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applications portfolio, including the adoption and optimisation of OpenClinica and oversight of bespoke application services. Ensure effective integration between platforms through secure and compliant
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Director, UW Medicine Innovation Core is responsible for advancing the ethical, strategic, and operational adoption of AI and emerging technologies across UW Medicine. This leader helps shape the future
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project leadership, business analysis, process improvement, and organizational change management to help drive AI adoption and business transformation across the CU Anschutz campus. You'll serve as a
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, sustainable, and responsive to evolving needs. The role also leads exploration and adoption of emerging technologies, including AI-enabled tools, advanced computing platforms, cloud research environments, and
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Department PSD Computer Science: Tech Administration About the Department The Department of Computer Science is an academic department that has a rich history of advancing and defining new fields
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addition to the Minimum Qualifications above, the successful candidate must demonstrate hands-on experience in at least one of the following focus areas: Cloud computing — building, deploying, and managing solutions using
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support the modernisation of research computing across on-premises and cloud environments. This includes assessing existing systems, migrating legacy infrastructure, strengthening cybersecurity, backup and
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autonomous, and better-informed decisions. As part of the University's data transformation programme, you will help develop and maintain cloud-based analytics solutions using Snowflake, dbt and modern data