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§ Clinical metadata harmonization across cohorts § Integration of clinical and multi-omic microbiome data. § Experience with Python/R and cloud computing preferred Ideal candidate: A computational
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technical support for production Windows based systems, Active Directory services, cloud-based infrastructure, and backup support for diverse systems and infrastructure within SVM-IT. This role encompasses a
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with variant calling/QC, GWAS, polygenic score or risk model development Knowledge of cloud computing, and high-performance computing (HPC) environments Strong ability to present findings and collaborate
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bioinformatics tools and libraries (e.g., Bioconductor, STAR, DESeq2, Seurat) and familiarity with cloud computing platforms and scalable computing infrastructures for large datasets. How to Apply: Interested
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software stack, hardening these solutions, testing these on modern computing continuum testbeds (edge devices to clouds to HPC systems), and making software releases. Qualifications Required: Bachelor’s
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and engineering of the Libraries’ cloud computing infrastructure and applications. Additionally, the position supports other key infrastructure, collaborating with colleagues across disciplines and
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university’s guidelines. Knowledge, Skills & Abilities: Knowledge of: On-Premises storage systems, including both Network Attached Storage (NAS) and Storage Attached Network (SAN) technologies Cloud storage
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, application development, infrastructure support, cloud computing, program/project management, consulting, or related experience. • A minimum of 6 years of technical leadership and architecture experience
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Creative Cloud, Microsoft Word, Sidearm and NCAA Live Stats. Responsibilities include, but are not limited to: serving as the primary media contact for Women’s Soccer, Swimming & Diving, and Women’s Lacrosse
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
Cloud, and/or Data Cloud Knowledge of HL7, FHIR and DICOM Standards Broad and/or in-depth knowledge of multiple areas of focus in application specialty areas. Knowledge of systems and functions