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such as pulsed laser deposition (PLD) to synthesize and optimize materials. The focus will be on developing and improving the reliability of agentic AI platforms that can perform atomic manipulation in STM
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seeking to fill a Postdoctoral Research Associate position to work in the areas of environmental life cycle assessment (LCA), technoeconomic optimization; and industrial energy efficiency and production
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simulations to understand the physics driving enrichment technology and identify optimization paths. Propose and lead research to advance high mass ion source technology for flexibility across the periodic
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data and simulations to understand the physics driving enrichment technology and identify optimization paths. Independently complete research to advance high mass ion source technology for flexibility
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, the Frontier supercomputer, and collaborate with experts in machine learning, optimization, electric grid analytics, and image science. The successful candidate will design and implement differential privacy
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optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature
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. Implement and optimize data representations and pipelines suitable for machine learning and uncertainty quantification. Collaborate with AI/ML experts to design and test inference methods that map
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Requisition Id 15553 Overview: We are seeking a Postdoctoral researcher in data quality assessment and control and sensor network optimization who will focus on R&D of sensor network design. This
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that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In this role, you will have the opportunity to lead and contribute
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Optimization & Integration: Partner with the HPC engineering team to guide researchers in optimizing scientific codes and workflows for HPC environments. Collaborate with the HPC engineering team to ensure