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computational foundations of that capability and help bridge the gap between Bayes theory and practical application: knowledge integration, developing robust likelihood frameworks, sampler behavior for long
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environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. Special Requirements: Applicants cannot have received their Ph.D. more than five years prior
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into nuclear forensics applications. The Materials & Chemistry Group focuses on fundamental chemical and physical science related to nuclear fuel cycle materials in support of national security objectives. MCG
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laboratories, and private industry. Present research results to ORNL staff, DOE, industry, and academia in the form of invited talks, conference papers, and peer-reviewed journal papers with high impact factors
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sponsors. Special Requirements: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment
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and data analytics with applications in a large variety of science domains. NCCS is home to some of the fastest supercomputers and storage systems in the world. This position is in the Technology
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sciences to enable quantum computers, devices, and networked systems. It develops community applications, data assets, and technologies and provides assurance to build knowledge and impact in novel, crosscut
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AI to advance predictive understanding of how plant–microbial–soil interactions vary across inundation and salinity gradients to shape ecological, hydrological, and geomorphological responses to abrupt
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evaluating materials for separation applications A strong track record of productive and creative research proven by publications in peer-reviewed journals Excellent written and oral communication skills
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capabilities in support of dramatic advances in our understanding of the physical world and using that knowledge to address the most pressing national and international concerns. It delivers leadership- class