333 information-security "https:" "https:" "https:" "https:" "https:" "UCL" positions at Oak Ridge National Laboratory
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, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: BS/BA degree in Information
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Qualifications: Requires a bachelor’s degree in computer science, computer engineering, or related field and a fundamental understanding of cyber security principles, tools, and operational applications. Preferred
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them into solutions for energy, environmental, and security challenges facing the nation. Major Duties/Responsibilities: As a Machine Learning Data Engineer, you will be responsible for: Independently
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scientific discovery, technology and national security challenges. CSMD delivers fundamental and applied research capabilities in a wide range of areas, including applied mathematics and computer
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ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Basic Qualifications: BS in computer engineering, computer
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of funding. Security, Credentialing, and Eligibility Requirements: For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is
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Requisition Id 15997 Overview: We are seeking a postdoctoral researcher who will focus on atomistic simulation and data science approaches. This position resides in the Chemical Transformations
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Requisition Id 15653 Overview: We are hiring an IT Specialist to provide end user support across more than ten thousand Windows/Macintosh/Linux computers and mobile devices throughout ORNL
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Requisition Id 15815 Overview: The Workflows and Ecosystem Services (WES) group under the Advanced Technology Section (ATS) of the National Center for Computational Sciences (NCCS) is seeking a
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and ensuring all work is carried out safely, securely, and in compliance with ORNL policies, standards, and procedures. Exemplifying a commitment to “One ORNL” by modeling lab expectations