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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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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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approaches for scientific data analysis and/or the latest machine learning approaches, including deep learning models. Experience working with DOE National Laboratories (or similar R&D organizations). Special
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modeling and experiences in machine learning Strong background in modern techniques in fabrication of nano- and microfluidics An excellent record of productive and creative research as demonstrated by
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opportunity to creatively use interdisciplinary methods from computational data science, machine learning, geographical information sciences, and many other topics to help frame and solve the above problems on
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! ETCT is in the Research Computing Division of ORNL’s Information Technology Services Directorate. We work with the sponsors and researchers to develop, deliver, and maintain data pipelines and machine
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, physics-informed machine learning methods, and high-performance computing. We are a diverse group of engineers, material scientists, and applied mathematicians who share a common passion for developing
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operations by raising safety concerns, using a questioning attitude, considering hazards for every task, and never stopping learning. Participate in assessments, critiques, incident investigations, and related
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together, and measure success. Basic Qualifications: A PhD in energy science, computer engineering, or a related field and at least three years of relevant experience. An undergraduate degree in physics