170 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Oak Ridge National Laboratory
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feedback, and exchange lessons learned. Conduct quality assessments of work, including document reviews, to verify adherence to specifications and compliance with requirements. Serve as software quality
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enrichment technology related components using 3D Computer Aided Design (CAD) software (SolidWorks). Create 2D drawings to be used for fabrication and communicate with staff and suppliers through
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analytics that enhance and evolve business operations and scientific decision-making capability and related activities at ORNL.Qualified applicants will have a solid foundation of Generative AI and Machine
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engineering disciplines and 7+ years of working experience in a related field. Candidates with a Doctoral degree are encouraged to apply as well. Advanced understanding of mechanical systems, machine design
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Expertise in machine learning and big data analysis Excellent written and oral communication skills Motivated self-starter with the ability to work independently and to participate creatively in collaborative
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Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Develop software as a part of a team of research application software engineers, computer scientists, and engineers. Work with researchers
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of agentic AI for science, scientific reasoning, federated & collaborative learning, and reinforcement learning (RL) for self-improving models, in the context of leadership scientific workflows and
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
ML concepts and architectures and hands-on experience with open-source AI/ML packages (such as pytorch, scikit-learn, tensorflow, JAX etc.). Preferred Qualifications: Good grasp of concepts in solid
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, Computer Engineering, Computational Engineering, or a closely related field. At least 2 years of experience working with Linux-based systems; familiarity with core utilities and managed services such as
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the development, implementation, and interpretation of optical plasma diagnostics and integration of real-time data acquisition systems. Experience with machine learning and data-driven approaches to diagnostic