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computational and experimental campaigns, running in distributed large-scale advanced computing environments. The group also delivers AI-ready and FAIR scientific data, together with the orchestration, provenance
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, root imaging) with biogeochemical, microbial, or environmental sensor data. Experience analyzing large datasets in reproducible formats (R, etc.) Demonstrated interdisciplinary and systems-level approach
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time-of-flight secondary ion mass spectrometry (ToF-SIMS), scanning electron microscopy (SEM), and X-ray diffraction (XRD). Experience in data reduction of big spectroscopy, mass spectrometry, and image
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, orchestrating large-scale investments and partnerships, and positioning ORNL as the national leader in geospatial HPC, data infrastructure, and emerging computing paradigms (edge compute, neuromorphic, quantum
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in high-performance computing and data analytics with applications in a large variety of science domains and NCCS is home to some of the fastest supercomputers and storage systems in the world
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will design and implement differential privacy solutions for large-scale scientific data models in federated learning environments. You will advance privacy-preserving machine learning by developing
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DSFs will be named to one of three fellowships based on their scientific background. The fellowships honor three prominent scientists who made a Big Science impact at ORNL. Dr. Liane B. Russell was a
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and data analytics with applications in a large variety of science domains. NCCS is home to some of the fastest supercomputers and storage systems in the world. This position is in the Technology
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, process, and analyze large volumes of satellite imagery Support the design and implementation of efficient computer vision techniques Visualize and communicate research results through technical reports
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the Materials Engineering Group within the Large Scale Structure Section, Neutron Scattering Division, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL). The selected candidate will work in a