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, ptychography) and/or semiconductor sensor technologies. Preferred Qualifications: Experience with Timepix, Medipix, or other event-driven detector technologies. Knowledge of signal processing, real-time data
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sensors and controls). Interact and collaborate with researchers from universities, national laboratories, and private industry. Present research results to ORNL staff, DOE, industry, and academia in
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the U.S. DOE Weatherization Assistant Program and the weatherization network by developing tools and resources for building energy audit and health and safety assessment; providing training and assistance
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integration and utilization. Group initiatives encompass innovative sensor technologies, advanced modeling techniques, and precise control mechanisms specifically designed for the grid edge. Research promotes
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to enable quantum computers, devices, and networked systems. It develops community applications, data assets, and technologies and provides assurance to build knowledge and impact in novel, crosscut-science
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. Understanding of machine learning algorithms (gradient descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers). A broad understanding of machine learning methodologies and
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(https://cbi.ornl.gov/ ). The Plant Systems Biology Group seeks to explore and understand the network of traits, genes, proteins, metabolites, and environmental signals that lead to improved plant