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automation, machine learning, mobile robotics, process control, sensor processing, machine vision, and/or human machine interaction. This position will require working with external partners, corporations, and
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understanding in fundamental metallic, ceramic, and hybrid materials science as well as some familiarity with a variety of manufacturing processes. Experience with advanced/additive manufacturing. Experience
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, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD degree in materials
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. The Plutonium-238 Supply Program at ORNL is producing plutonium-238 for NASA in support of powering deep space missions. To do so, a myriad of chemical processing steps are required to prepare targets
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, and their interdependencies. Develop processes for transportation route and mode identification and facility sighting, considering natural disaster resiliency, climate change, and energy affordability
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. Sensing, Machine vision, image processing and data fusion. Inline manufacturing process monitoring and control. Major Duties/Responsibilities: Develop foundation AI models under various projects. Develop
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certifications in the field of energy efficiency. Familiarity with industrial processes, building science, heating and cooling technologies, and mechanical systems and controls. Familiarity with numerical
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emerging at the grid edge, providing essential services crucial to its reliable operation. Employing a diverse range of disciplines such as control theory, optimization, economics, game theory, data
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Laboratory (ORNL). This position will focus on the application of your knowledge to the chemistry of advanced nuclear fuel cycles. In this position, you will develop processes that convert products and
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). In this role, you will perform computational studies aimed at better understanding of photochemically driven processes to control ligand binding and release, and pH modulation using photoacids and