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scientific results Two or more years of experience with state-of-the-art machine learning methods such as reinforcement learning and Bayesian optimization Experience with operating microscopy platforms
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seeking to fill a Postdoctoral Research Associate position to work in the areas of environmental life cycle assessment (LCA), technoeconomic optimization; and industrial energy efficiency and production
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for isotope enrichment. They will work closely with scientists, technicians, and engineers on technical projects in support of the DOE Isotope Program and other DOE missions. This program offers opportunities
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. They will work closely with scientists, technicians, and engineers on technical projects in support of the DOE Isotope Program and other DOE missions. This program offers opportunities for professional growth
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Requisition Id 15696 Annual Salary Range: $125,000.00 - $156,000.00 Work-Site Type: Remote ORNL offers a flexible work environment that supports both the organization and the employee. In addition
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and implementation of technologies in these areas and beyond. This individual will work closely with research and technical staff to establish new laboratory capabilities and support the production
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within an Agile Scrum workflow and work with scientific researchers to provide automation solutions. Our success is measured by the additional capabilities, cost savings, and optimizations we provide
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guarantees while minimizing performance impact. Additionally, you will optimize the balance between privacy and utility, addressing the challenges of heterogeneous privacy budgets and varying requirements
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Requisition Id 15634 Overview: The Data Analytics and Machine Learning (DAML) Group is seeking an exceptional mathematician to work on the development of rigorous theory and algorithms needed
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physics (HEP) detectors, neuromorphic computing, FPGA/ASIC design, and machine learning for edge processing. The successful candidate will work with a multi-institutional and multi-disciplinary team