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qubit engineering to quantum algorithmic analysis to applications across the physical sciences (condensed-matter or high energy physics, data science). You will Interpret, report, and present research
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environment. The successful candidate will develop and apply advanced machine learning techniques—including multimodal AI, computer vision, and large language models—to complex scientific and engineering
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. This position resides in the Neutron & X-Ray Scattering, & Thermophysics group in the Materials Analysis and Interface Science Section, Materials Science and Technology Division, Physical Sciences Directorate
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is to integrate computational modeling with experimental methods and provide innovative solutions for technology growth. We aspire to help generate technical artifacts (patents) as well as scientific
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(ORNL). This position will focus on the development, characterization, and application of engineered nanoparticles for medical isotope systems, including technologies relevant to isotope processing
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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
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Requisition Id 16217 Overview: The Multiscale Biomedical Systems Group within the Advanced Computing in Health (ACH) section of the Computational Sciences and Engineering Division (CSED) at Oak
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PhD in materials science and engineering, physics, chemistry, or electrical engineering or a related field. Preferred Qualifications: Experience in scanning transmission electron microscopy Background
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comparative research across Mojo, Julia, Rust, and vendor toolchains. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or related field. Experience with LLMs or agentic AI frameworks
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Assistance, Relocation Assistance, and Employee Discounts. This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. We accept Word