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design, and big data processing for elevated temperature mechanical property testing results Strong background in high temperature material damage mechanisms Skills in advanced material characterization
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research will involve Python scripting within the Thermo Fisher AutoScript environment to control operation of the microscope beam, stage, detectors, and spectrometers, with a particular emphasis on annular
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mathematical representations of quantum states and processes, develop algorithms, and produce open-source scientific software Write peer-reviewed scientific articles and present research findings at major
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compliance with environment, safety, health and quality program requirements Maintain strong commitment to the implementation and perpetuation of values and ethics Deliver ORNL’s mission by aligning behaviors
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radiochemical processing, isotope separations, or nuclear systems. Experience with statistical design of experiments and integrated experimental/computational research approaches. Ability to work effectively
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data science to develop new methodologies for assessing and improving the quality of components fabricated using advanced manufacturing processes. This position resides in the Manufacturing Systems
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respectful workplace – in how we treat one another, work together, and measure success. Required Qualifications: PhD in Nuclear engineering, computer science, applied mathematics, or a related field completed
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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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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success Basic Qualifications: A Ph.D. in Condensed Mather Physics, Materials Science and Engineering, or
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understanding of experimental design, test planning, and data interpretation for polymer composite manufacturing processes, including the ability to translate modeling results into validation experiments and