23 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at Stanford University
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exposed to working in the cloud environment and learning machine learning techniques. The role requires working independently with minimal supervision, as well as communicating results in code, orally, and
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monetary summaries, and/or account transfers. May serve as project leader on smaller scale events, coordinating teams that plan, implement, and manage all aspects of events or manage program elements
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• Experience with ontologies, terminologies, UMLS, or Semantic Web • Familiarity with Cloud computing paradigm • Experience with working in a medical school environment, and working with HIPAA PHI and
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and engineers to define and execute strategy on complex projects from single tasks to sophisticated implementations. Perform server migrations and cloud administration (GCP/AWS) in support of endpoint
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or manage program elements of larger scale events. Utilize and/or maintain complex databases. May use specialized event planning software. MINIMUM REQUIREMENTS : Education & Experience: Associate degree and
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studies, ensuring data integrity, regulatory compliance, and efficient data flow from collection through analysis. Learning SQL or having experience with Google Cloud would be preferred. Projects involve
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CRG goals, including strategies to support growth and clinical trial accruals. Manage and track research program financial status through development of detailed reports for discussion with research
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sessions with stakeholders; receive and give code review feedback; pair program with senior engineers; proactively upskill on platforms and frameworks. Education & Experience: Bachelor's degree and three
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application. The Institute for Stem Cell Biology and Regenerative Medicine (ISCBRM) and the Ludwig Center at Stanford in the School of Medicine is seeking a Communications Manager (Unit/Program Communicator 3
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multiple computational tools and techniques in addition to collaboration outside of the library. Analysis of user feedback will inform proposals for new computational approaches, tooling and training