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Field
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, ensuring all activities strictly comply with data protection regulations and institutional policies. You will manage the technical infrastructure for research, providing hands-on Linux system administration
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Research Infrastructure Specialist who can help the CRC (1) support, develop, and manage existing Linux-based core infrastructure that supports centrally managed research environments, and (2) evaluate
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Qualifications: Strong experience with Windows, Mac OS X, and various Linux distributions. Excellent team skills and strong customer service focus. Experience with local area networks, Microsoft Active Directory
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Description The System Administrator I will have a full scope of understanding server administration for Windows and/or Red Hat Linux based servers to include planning, installation, documentation
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technical computing environments, including learning new tools and using Windows and/or Linux systems Willingness to learn, ask questions, and follow guidance from engineers and architects Ability
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provisioning using Ansible, Vagrant, and Linux Bash. IT-OT System Development: Assist in the development of IT-OT systems and their digital equivalents. Documentation: Produce technical and user documentation
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 19 days ago
members. Minimum Experience / Education: Bachelor's degree and 4+ years of relevant work experience to include 1-3 years of Linux Systems Administration experience; or An equivalent combination of education
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& Infrastructure: Deep understanding of FC, NFS, and CIFS protocols, as well as NAS and SAN snapshot technologies. - Virtualization & Hardware: Proficiency with VMware vCenter, ESXi and Cisco UCS hardware. - Linux
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 14 days ago
; experience with ACLs and firewall platforms; experience with GNU/Linux operating systems; familiar with scripting and automation tools; understanding of network protocols and switching protocols, wireless
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of computational pipelines for TCR prediction. Working with datasets derived from tumor samples and immunological assays. Running analyses on high-performance computing systems using Linux-based environments and