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purity analysis and material handling. Experience in implementing the requirements of DOE O414. Experience with manufacturing with an R&D component within a large, multiprogram research environment. Proven
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and clustered computing services to researchers who process large data sets and/or develop code as a part of their project. Ensure the availability, performance, scalability, and security of production
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of density, viscosity, and thermal conductivity of molten salts. Analyze and assess recent and legacy thermophysical property data, compile and organize into large database files Use various experimental and
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insights from large, heterogeneous, multi-modal data sets, such as those commonly encountered by the national security community. Examples of data of interest include signals, network traffic, multi-modal
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technical programs or projects. Knowledge of DOE project management guidelines. Minimum of 5 years managing large DOE capital projects (DOE 413.3B), especially DOE Office of Science projects. Demonstrated
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evolutionary/quantitative/population genetic analyses on existing large datasets. Apply and develop bioinformatic pipelines to analyze diversity data, especially in the context of pan-genome resources. Work
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research and development atmosphere. Projects range from creating new 3D models based on conceptual (whiteboard) designs and cleaning up legacy prints, to participating in large design reviews. AET resides
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advocates and promotes Linux systems to researchers who process large data sets and/or develop code as a part of their project. This includes ensuring the availability, performance, scalability, and security
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Requisition Id 14907 Overview: The Data and AI Systems Research Section/Workflow systems Group within the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is
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technical assistance support for industrial sites, and other large energy users, installing electricity and thermal energy generation and storage technologies at their facilities. The MEERA Group actively