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applied aspects of the development of reliable and efficient architecture aware and scalable software requiring expertise in mathematics, statistics, and probability. This position is within the Mathematics
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level (post-bachelors through senior staff) with expertise in data science, statistics, machine learning, and/or applied math to support a diverse team of cybersecurity researchers, software engineers
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level (post-bachelors through senior staff) with expertise in data science, statistics, machine learning, and/or applied math to support a diverse team of cybersecurity researchers, software engineers
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providers and other ORNL DAAC staff to develop guide documents and other forms of data documentation for submitted data (20%). Develop statistical models and perform statistical analysis for other geospatial
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-performance computing and data analytics with applications to the physical and biological sciences. We are seeking a postdoctoral research associate who will focus on signal processing, statistical analysis
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-performance computing and data analytics with applications to the physical and biological sciences. We are seeking a postdoctoral research associate who will focus on signal processing, statistical analysis
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and statistical modeling to build and use tools for healthcare needs. This group creates scalable AI and machine-learning solutions for biomedical data in HPC environments, including privacy and
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with a strong geospatial focus, spatio-temporal and time-series analysis, statistical methods, graph theory, and semantic knowledge discovery with a strong emphasis on algorithm development, prototyping
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statistical models, conduct multi-objective optimization, and assess uncertainty in model predictions, using common scientific programming tools (e.g. FORTRAN, C#, R, Matlab, GIS) Exceptional interpersonal
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and advanced statistical models, conduct multi-objective optimization, and assess uncertainty in model predictions, using common scientific programming tools (e.g. FORTRAN, C#, R, Matlab, GIS