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endowment in excess of $3.9 billion. Job Description Medical Informatics Administrator University Health Services provides comprehensive, student-centered medical care and public health support that foster
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experience / training. Experience with Amazon Web Services (AWS), Google Cloud, and other cloud computing providers. Experience with Kubernetes. Experience with Linux server administration. Experience with
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to the UBDC research community. You will also act as a key liaison with infrastructure providers, helping researchers make optimal use of high-performance computing resources, including cloud platforms and
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
, Seurat) and familiarity with cloud computing platforms and scalable computing infrastructures for large datasets. How to Apply: Interested candidates should submit a brief cover letter, curriculum vitae
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to the applicant’s academic rank. Candidate must possess good understanding of informatics infrastructures to support highly innovative research within high performance computing (HPC), cloud computing, and secure
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Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related discipline. 5+ years of technical engineering experience and 1–3 years of leadership experience. Experience with cloud
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on at least one of our product development teams building applications within the St. Jude Cloud ecosystem, including the large-scale data sharing application, Genomics Platform (https://platform.stjude.cloud
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Associate Director provides leadership for Venture Lab’s key strategic priorities through the delivery, management, and end-to-end operations of the Venture Initiation Program (VIP) Incubator. This work will
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Undergraduate programs, Master’s degree programs and a Doctorate program in Aquaculture/Fisheries. You can also develop workplace readiness through internships, co-ops and fellowships in the U.S. and abroad. Out
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performance computing systems or cloud infrastructure (including GPU-accelerated workloads). Practical experience with modern deep learning frameworks, model serving in production, and building end-to-end data