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, machine learning, mobile robotics, process control, sensor processing, machine vision, and/or human machine interaction. This position will require working with external partners, corporations, and sponsors
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operational excellence and engagement with the communities where we live and work. ORNL invites you to apply to its Distinguished Staff Fellowship (DSF) Program. This program recognizes outstanding early-career
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), and uphold industry best practices in HPC/data center operations. Basic Qualifications: Advanced degree (MS or PhD) in Computer Science, Data Science, Geospatial Science (GIS/remote sensing), Electrical
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Human Security Division, National Security Sciences Directorate, at Oak Ridge National Laboratory (ORNL). As part of our team, you will support research tasks related to image preprocessing pipelines
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with 8 years of experience or MS with 7 years of experience or a PhD with 2 years of experience in engineering, computer science, physics, mathematics, natural sciences, or related field. Experience with
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high temperature ceramic and ceramic composite systems and their relationship to microstructure and performance metrics. This position resides in the Ceramics and Ceramic Composites (CCC) Group, Materials Processing
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. Experience with developing machine-learning surrogates for structure-property relationship, generative AI models, material representations, machine learning force-fields (especially extensions to spinful
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(MS or PhD) in Computer Science, Data Science, Geospatial Science, Electrical or Mechanical Engineering, Physics, or a closely related discipline. Minimum 12 years of experience with a doctoral degree
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& Computing Center to support ORNL’s geospatial high-performance computing (HPC) research portfolio within the Geospatial Science and Human Security Division. ORNL is the nation’s geospatial research laboratory