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informed of class logistics. Use the Learning Management System (LMS) for monitoring registrations, determining class assignments, setting delivery schedules, printing rosters, and verifying training records
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and continuous learning. Stakeholder Engagement & Partnerships: Serve as the external interface for the center: liaise with ORNL counterparts addressing lab-wide computing and data initiatives, build
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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independent R&D on an ongoing basis. Develop and grow programs in image/signal processing, applied machine learning, and artificial intelligence for applications for application areas including AI security
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of relevant experience B.S. and 15 years of relevant experience Equivalent combinations of skills and experience may be considered. Applied R&D expertise in computer science or computer engineering in a
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learning solutions that support laboratory-wide training programs and organizational performance initiatives. This position resides in the Instructional Systems Design Group within the Office of Technical
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needed. This position is not eligible for remote work. Basic Qualifications B.S. degree in computer programming or related field and at least three years of relevant experience, or an equivalent
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and approaches to solve complex problems (e.g., information retrieval/extraction, machine learning/deep learning, networking) Experience working with geospatial data and processing workflows and
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technical and non‑technical stakeholders. Exercise creative and analytical thinking with diverse and multidisciplinary groups. Basic Qualifications: BS degree in computer programming or related field and at
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seeking a Geospatial Data Engineer to support research and operational workflows focused on scalable geospatial data science, applied machine learning, and production-grade engineering practices to deliver