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of the group. Strong knowledge of performance modeling, simulation, and benchmarking of parallel and distributed computing systems and of the workflow systems that run on them. Familiarity with the FAIR data and
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and modeling, CNC system design, and/or machining process optimization Experience with CNC machine tools, machine controllers, G-code, CAM software, machining process planning, fixture design, and
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solid modeling Experience with mechanical design and analysis Experience with hoisting and rigging equipment and material handling operations Preferred Qualifications: Familiarity with PTC Creo CAD
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architecture, and ORNL’s enterprise and high-performance computing (HPC) environments. The role is typically less about building individual models and more about designing, integrating, and governing end-to-end
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models for HFIR isotope production targets. A successful candidate will be capable of leading efforts to achieve isotope production objectives, including HFIR target design, qualification, fabrication
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data models aligned with community standards (e.g., W3C PROV), and build the query, storage, and streaming layers (e.g., message brokers, document and time-series stores) required to make workflow
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from quantum computers used to advance the state of the art in scientific computing to unique modeling and simulation technologies for national security applications. Oak Ridge National Laboratory
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another, work together, and measure success. Basic Qualifications: A PhD degree in Mechanical Engineering or a related discipline 2 years of experience in data center thermal management analytical, modeling
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and emerging strategic opportunities. Model and reinforce ORNL values and ethics, including Impact, Integrity, Teamwork, Safety, and Service, while fostering a respectful, inclusive, and accessible
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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