14 engineering-image-processing-phd positions at Oak Ridge National Laboratory in United States
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dark-field STEM imaging, energy dispersive X-ray spectroscopy (EDS) and electron energy loss spectroscopy, at the intersection of electron microscopy, software engineering and machine learning. Major
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. Basic Qualifications: PhD in electrical/computer engineering, computer science, or a related discipline A minimum of 8 years of relevant experience in image/signal processing and machine learning
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, 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 in Welding Engineering
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Requisition Id 16093 Overview: Oak Ridge National Lab is seeking a Postdoctoral Research Associate to advance quantitative, high‑throughput neutron imaging for next‑generation energy‑storage
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Qualifications: PhD in Mechanical Engineering, Robotics, Electrical Engineering, Civil Engineering, Construction Engineering, Manufacturing Engineering, or a related discipline. A minimum of 1 year of postdoctoral
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for quality assurance, nuclear material control, radiological work, and general laboratory safety. Basic Qualifications: PhD in nuclear engineering, materials science, physics, chemistry, chemical engineering
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Qualifications: PhD and 2+ years of experience in a computational discipline such as Computer Science, Statistics, Biomedical Engineering, or a related field. Experience with multi-modal learning across modalities
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demonstration of centrifuge technology. The successful candidate will participate in research and development (R&D) activities that strategically advance science and technology focused on gas testing of prototype
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another, work together, and measure success. Basic Qualifications: A BS degree in computer science, computer engineering, information technology, information systems, science, engineering, business, or a
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, monitoring). Use systems engineering processes (life-cycle management, traceability, verification & validation, configuration management) to ensure system reliability, maintainability, scalability, and