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Power BI development and a proven foundation in Data Science, including fundamental-level skills in Generative AI and Machine Learning! This role focuses on designing, developing, and moving BI, Analytics
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Power BI development and a proven foundation in Data Science, including fundamental-level skills in Generative AI and Machine Learning! This role focuses on designing, developing, and moving BI, Analytics
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Experience with multi-physics simulations on high performance computing (HPC) and machine learning (ML) Experience working in a multi-disciplinary research environment Demonstrated written and oral
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treat one another, work together, and measure success. Basic Qualifications: PhD in physics, optics, electrical engineering, computer science, or a related field completed within the last 5 years
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research staff within ADADS and throughout ORNL to develop and apply modern data science/machine learning techniques to a wide variety of subjects including nuclear material detection, nuclide identification
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Senior R&D Staff - Physics-informed Machine Learning Scientist for Autonomous Self-driving Laborator
Requisition Id 12780 Overview: We are seeking a Machine Learning Scientist who will focus on research and development of new physics-informed machine learning algorithms, as well as writing and
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together, and measure success. Basic Qualifications: A PhD degree in Physics, Chemistry, Biology, Computer Science, or a related discipline A minimum of 3 years of experience in machine learning applied
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research experience beyond the PhD. A well established track record of research in an area relevant to one or more areas of expertise of the group. Knowledge of state-of-the-art machine and deep learning
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to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation. We are seeking a Machine Learning Scientist who will focus on research and development
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comprised of a multi-disciplinary team of scientists carrying out research to improve process understanding of the global Earth system by developing and applying models, machine learning, and computational