260 web-programmer-developer-"https:"-"https:"-"https:"-"UCL" positions at Oak Ridge National Laboratory
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novel quantum sensing solutions to problems of national interest and support the research and development necessary for the practical implementation of those solutions Interpret, report, and present
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-performance polymer nanocomposites, the development of novel thermally conductive adhesives, thermally conductive interface materials/polymer nanocomposite and their manufacturing, and development of polymer
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from mission and operations organizations to support training, incident causal analysis, procedure and process development, etc. This team would also serve to conduct HOP performance/gap analysis and
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) configuration management program, provides technical support to operations and maintenance, and performs systems analysis. Major Duties/Responsibilities: Leads the creation and revision of designs for complex
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, at Oak Ridge National Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML
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work to exciting research in multi-disciplinary domains alongside globally recognized experts. You will bring creative thinking, teamwork, and machine learning skills to bear as you develop new methods
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, integrated mechanical systems, many of which are first-of-a-kind or one-of-a-kind. In this role, you will work alongside other designers, engineers, and scientists to fully develop these components and
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information science, materials characterization, and energy research initiatives. The successful candidate will be responsible for maintaining operational excellence of our NMR infrastructure, developing new
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security challenges facing the nation. We are seeking a Machine Learning (ML) Research Engineer who will support the development of self-supervised learning methods for large vision-language models
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binding and selectivity manifested in improved separations. Develop and evaluate statistical mechanical and machine learning tools for studying molten salts using the leadership-class high-performance