183 data-"https:"-"https:"-"https:"-"https:"-"BioData" positions at Oak Ridge National Laboratory
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Laboratory (ORNL) invites outstanding candidates to apply for a staff position in the Data Analysis and Machine Learning Group. This group focuses on scientific computing with a strong emphasis on scientific
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Requisition Id 15352 Overview: The Field Intelligence Operations Division (FIOD) invites candidates to apply to join the team as a Data Center Manager and technical expert in support of classified
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Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement
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science, computer science, computer engineering, electrical engineering, and optical engineering, and frequently collaborates with partners in industry, academia, and other government organizations
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Group in support of the Nuclear Structure and Nuclear Astrophysics research program and the Nuclear Data effort. Major Duties and Responsibilities: Design, propose, perform and analyze experiments in
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Requisition Id 15631 Overview: Oak Ridge National Laboratory (ORNL) is seeking data management leader for our world class earth and environmental data centers in the Environmental Sciences Division
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emerging threats before they become problems. We are looking for early‑career analysts who are curious, love to research, and enjoy turning technical data into clear, actionable reports. Reporting
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must have demonstrated ability to derive tangible insights from publicly available information, commercially available information, and community curated sources. The ability to identify network
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solutions to compelling problems in energy and security. The Data Science & Visualization Group at Oak Ridge National Laboratory (ORNL) advances AI/ML research and delivers applied solutions that support high
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Application-driven Composable Distributed Storage. The candidate will be able to make research contributions in understanding and efficient use of distributed data storage and I/O subsystems for High