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services across on-premises, public, and hybrid cloud environments. This includes integrating security controls into CI/CD pipelines, leveraging Infrastructure-as-Code (IaC), and orchestrating workflows
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. For UNR Med professional job postings, please contact the Office of Professional Recruitment at (775) 784-6778. Job Description The University of Nevada, Reno seeks a Server and Cloud Administrator supports
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. Full-stack experience with Dajngo or other similar frameworks. Experience with HPC environments (SLURM) and/or cloud computing The Rockefeller University is an equal opportunity employer - veterans
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approaches, that may include flat-file extracts, Enterprise Service Buses (ESB), ODBC APIs, Restful APIs, Cloud services. Enterprise Data & Information Systems The HITS Enterprise Data & Information Services
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Controller is advertised for the project: "Creation of an open platform for access, capture, storage and decentralised exchange of health data in real time of the Clínico-Malvarrosa Health Department for cloud
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modeling). Experience working with HPC/GPU resources and job schedulers (e.g., Slurm) and/or cloud-based deployments. Track record of contributing to peer-reviewed publications as a computational specialist
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: Master’s degree in Bioinformatics, Computational Biology, Data Science, or a related quantitative field. Work Experience: Two (2) years’ experience with cloud or high-performance computing environments (AWS
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FTE .50 Scope of Job Assist in the organization and ingestion of Digital files into institutional repositories, and cloud-base repositories. Creation and organization of metadata forms. Key attention
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assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
"Cloud physics" (f/d/m/x) Background With the project Deepcloud, we will use the machine-learning revolution to better understand clouds and their role in the climate system. We aim to train a deep