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service offerings (e.g., large-scale geospatial compute pipelines, data ingest/curation/archive, analytics/visualization, user support). Establish operating policies, SLAs, user workflows, resource
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environments Experience with parallel computing environments, HPC in a Linux environment Experience with surrogate modeling Experience with data analytics techniques Familiarity with C++ and GPU programming
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS in computer science, data science, artificial intelligence, business analytics management
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characterization, topology optimization, and real-time sensing. CSED focuses on transdisciplinary computational science and analytics at scale to enable scientific discovery across the physical sciences, engineered
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and execute system tests to ensure newly deployed systems can support user workloads. Proactively ensure that users have up-to-date information about the system, including any changes and their impact
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-sensing data, hydrologic and environmental measurements, and advanced computational models. These integrated data and analytical capabilities provide critical insights into how ecosystems respond
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to DOE sponsors, industrial partners, and international collaborators. Basic Qualifications: PhD in Computer Science, Computer Engineering, or a field closely related to the job duties of this position. A
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. Design and demonstrate connected-lab architectures for nuclear R&D by leveraging ORNL’s state-of-the-art testbeds and capabilities in robotics, simulation, data analytics, and real-time sensing. Drive
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and technical professionals on new methods to advance GeoAI for end-to-end multi-modality geospatial data analytics. Deliver strong science and engineering artifacts demonstrating research innovation