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of projects related to electrochemical analysis, surface specific spectroscopy, and battery materials for vehicle and aircrafts. Applicants are expected to perform experiments to direct and control
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for internal and external release as well as represent the organization by giving technical presentations in large public forums. Basic Qualifications: A PhD degree in mechanical engineering, material science
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success. Basic Qualifications: A PhD in mechanical engineering, manufacturing engineering, industrial engineering, materials science and engineering, mechatronics, electrical engineering, controls
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. In this role, you will leverage large-scale, heterogeneous datasets to develop and deploy AI-driven methods for: Real-time quality monitoring and control of manufacturing processes Understanding
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by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in physics or a related field completed within the last 5 years
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: To be eligible you must have completed a PhD in chemistry, physics, engineering, or a related field with in the last 5 years. Visa sponsorship is not available for this position. Preferred Qualifications
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applied AI/DL research in support of the Laboratory’s missions. Basic Qualifications: A PhD in computer science or an AI-related field completed within the last 5 years. Demonstrated expertise in scalable
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success. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, Data Science, or a related discipline completed within the last three years. An excellent record
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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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– in how we treat one another, work together, and measure success. Basic Qualifications: PhD (completed by start date) in plant ecophysiology, plant biology, ecology, Earth system science, or related