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, 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 sponsors
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Qualifications: BS in a science, engineering, business administration or industrial-organization psychology with a minimum of two years experience. Possess an advanced level of knowledge in office computer systems
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generating fusion energy. This research will focus on the chemical speciation and transport of tritium in the molten salt blankets using ab initio quantum simulations, machine learning potentials, and
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through data-driven modeling and optimization. The successful candidate will work at the intersection of thermal-fluid sciences, control theory, and artificial intelligence/machine learning to advance
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evidence of practical application. Possess an advanced level of knowledge in office computer systems and software applications (e.g., Outlook, Excel, Word, PowerPoint, Adobe Acrobat). Preferred
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engineering, computer science, or closely related field with 0-4 years of experience Programming experience, preferably in Python. Strong desire to learn new skills and the ability to learn independently
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worldwide challenges. Our research and development capabilities include radar and optics technologies, radio frequency (RF) communications, computational imaging, artificial intelligence / machine learning
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, engineering, applied mathematics, or a related discipline. Experience with image processing, imagery analysis, computer vision, or geospatial exploitation workflows involving satellite imagery, full-motion
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engineering, computer science, or closely related field with at least two years of relevant experience Programming experience, preferably in Python. Strong desire to learn new skills and the ability to learn
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, assessing hazards for every task, and committing to continuous learning. Other tasks as assigned by management. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values