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authorized within the proper time Facilitate completion of the operational activities deemed necessary through the work control process or as requested by researchers to enable research objectives in a manner
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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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in urban-scale building energy modeling, software development (esp. Python), or Artificial Intelligence/Machine Learning (AI/ML) Strong ideation, writing, and communication skills for establishing
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, using a questioning attitude, considering hazards for every task,and never stop learning. Align behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and
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of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic
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applying machine learning for materials and/or process discovery, particularly quantum and/or microelectronic materials Expertise in using or developing agentic tools for automation of scientific discovery
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, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success. As a U.S. Department of Energy (DOE) Office of Science national laboratory
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computer system. Proficiency in Microsoft Office tools and Adobe Acrobat. Ability to function well in a fast-paced procurement environment, set priorities, and adapt to changing needs. Basic knowledge of FAR
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, isotope processing, materials handling, dispensing, production-support, and deployment-readiness capabilities of the Electromagnetic Enrichment and Stable Isotope Science Division. The Director will be
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strategies, tools, and resources for complying with US export control laws and regulations. Identify high risk property, including items that are proliferation-sensitive, export controlled, military/weapons