79 cyber-security-data-analysis Postdoctoral positions at Oak Ridge National Laboratory
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analysis and technoeconomic analysis without significant direction from ORNL staff Leverage primary equipment data from both within ORNL and from industrial partners from across the U.S. to quantify costs
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in delivering the intended residential energy cost and other household direct benefits. Data collection, processing/curation, and analysis. Development and implementation of econometric analysis (e.g
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Confidential Computing and Secure Multi-tenancy. The candidate will be able to make research contributions in areas of system software architectures to support secure computing enclaves on large scale HPC and
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Requisition Id 16779 Overview: We are accepting applications for Postdoctoral Research Associate positions in Data Science for Advanced Manufacturing that will focus on the development of next
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Quantum computing. Collaborate with interdisciplinary research teams to integrate AI/ML capabilities into scientific simulation, data analysis, and computational workflows. Contribute to the development and
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data science to develop new methodologies for assessing and improving the quality of components fabricated using advanced manufacturing processes. This position resides in the Manufacturing Systems
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Confidential Computing and Secure Multi-tenancy. The candidate will be able to make research contributions in areas of system software architectures to support secure computing enclaves on large scale HPC and
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Requisition Id 17078 Overview: We are seeking a Postdoctoral Research Associate to join the Data Science and Engineering for Nonproliferation Group in the National Security Sciences Directorate
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Security Administration (NNSA), the Department of Energy (DOE), and other government agencies. Major Duties/Responsibilities: Perform research and development in the areas of nuclear reactor analysis M&S
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biogeochemistry. Experience applying machine-learning or AI methods to environmental data analysis, model calibration, or model-data integration. Experience synthesizing multi-source, multi-scale observational