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solutions to compelling problems in energy and security. We are seeking a Cybersecurity Research Assistant who will support the Cybersecurity Research Group in the Cyber Resilience and Intelligence Division
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Confidential Computing and Secure Multi-tenancy. The candidate will be able to make research contributions in areas of system software architectures to support secure computing enclaves on large scale HPC and
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present at major conferences and meetings Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal
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Collaborate with ORNL staff scientists and external collaborators Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and
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, Integrity, Teamwork, Safety, and Service Preferred Qualifications: Deep expertise in atomistic and multiscale simulation methods (e.g., MD, enhanced sampling, QM/MM) Experience improving performance and
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scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. Major Duties/Responsibilities: Conduct independent and collaborative research in
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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 Qualifications: A
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solutions to compelling problems in energy and security. We are seeking a Postdoctoral Research Associate who will support the Signals Collections and Analysis Group in the Nuclear Nonproliferation Division
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research and development needs within the MDF Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote
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transformative solutions to compelling problems in energy and security. Our diverse capabilities span a broad range of scientific and engineering disciplines, enabling the laboratory to explore fundamental science