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(SAT) framework, conduct task, learner, and context analyses, and collaborate with technical experts to create engaging, compliant, and effective learning experiences. Major Duties/Responsibilities: Lead
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completed within the last 5 years or expected to be completed soon. Expertise in AI/ML methods in an environmental or Earth science context Experience programming in Python or related languages A strong
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the context and rationale for the different allocation programs and legal agreements. Be prepared to work with OLCF leadership to develop new programs and opportunities to expand industrial usage as laboratory
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variety of contexts. This position resides in the Human Analysis and Biometrics Group in the Advanced Intelligent Systems Section, Cyber Resillience and Intelligence Division, National Security Sciences
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to deliver national security solutions. Demonstrated problem-solving skills, a willingness to apply those skills to a variety of problems, and the ability to determine and understand the broader context
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sensor data in a materials science context. An excellent record of productive and creative research demonstrated by publications in peer-reviewed journal papers. Excellent written and oral
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such as SC, IPDPS, HPDC, or IEEE eScience. Experience working in or coordinating across DOE national laboratory environments, particularly in the context of integrated or cross-facility research
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Distinguished Staff Scientist (Cancer Biology and Radiopharmaceutical Therapy Development and Advanc
use of mammalian cancer model systems, including 2D and advanced in vitro approaches, to evaluate therapeutic response in relevant tumor contexts. Evaluation of radiopharmaceutical constructs and
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, RTDS, Typhoon HIL, or similar systems. Familiarity with software coding and hardware development in the context of power systems research. Proven track record of scholarly publications and presentations
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or experience working with emerging technologies and evaluating technical activities within the context of U.S. export control and related regulations. Ability to learn and apply complex regulatory requirements