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intelligence, and architecture-aware algorithms that harness machines, ideas, and data to enable far reaching scientific breakthroughs. We develop computer innovations and advanced practical tools to address
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technical leadership in AI security evaluation mechanisms. Required Qualifications Master’s Degree in Computer Science, Computer Engineering, Cybersecurity, or related fields with 7-10 years of experience
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business computer software (e.g., Microsoft Office applications, especially Word and Excel; Adobe Acrobat) Advanced knowledge of ORNL’s business lines and sponsor requirements Specialized skills, knowledge
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have high level of organization and computer skills, working knowledge of PC, Microsoft Office (Word, PowerPoint, Excel, Access, Adobe Acrobat). Motivated self-starter with the ability to work
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. Maintain effective working relationships with internal and external customers in a professional manner and assist visitors as needed. Utilize computer resources and classroom equipment to deliver training
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environment consisting of mathematicians, computational and computer scientists, and domain scientists conducting basic and applied research in support of ORNL’s mission. Specific responsibilities include
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processing, biometrics, digital forensics, and/or computer vision for national security applications. Proven track record managing and executing funding at both relatively low levels (<1 full time equivalent
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success. Basic Qualifications: Bachelor’s degree in electrical engineering, physics, computer engineering, or related field A minimum of 5 years of relevant experience Preferred Qualifications: Master’s
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risks. Strong computer and organizational skills with the ability to multitask are required. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently
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, and compliance requirements. Strong aptitude for computer systems, electronic tools, and digital workflows. Ability to learn and adapt to new technologies, including AI-enabled tools used to support