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scientists, engineers, enterprise software developers, and machine learning experts at both neutron research facilities. We are seeking applicants to study materials science & engineering using neutron
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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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spectroscopy/scattering techniques for the design and characterization of functional materials Knowledge and experience in application of machine learning (ML)/artificial intelligence (AI) algorithms Ability
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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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physics-based machine learning for land cover forecasting. Intended use of these capabilities include urban planning, hydrological modeling, and wildfire risk mitigation strategies. In addition to model
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analysis, and information flow. Major Duties/Responsibilities: Development and support of data collection, modeling, and integration, along with associated computational and machine/deep learning
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strategies. Within the GeoAI group, you will have the opportunity to develop and publish on novel machine learning based solutions to national and global problems. Research activities include the design of
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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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(AI) and machine learning (ML). We are specifically seeking a candidate with solid experience with handling multimodal healthcare data. We are looking for someone with innovative thinking to design and
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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