246 data-"https:"-"https:"-"https:"-"https:"-"Dr"-"DESY" positions at Oak Ridge National Laboratory
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, supported by: Multiscale modeling (material (molecular) → process → manufacturing (scale up)) Data-informed experimentation Selective use of AI/ML and big-data techniques where they add real value
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Sensing Group (RSG). RSG is part of the Oak Ridge National Laboratory (ORNL) and seeks to hire qualified candidates to support photogrammetry and 3D computer vision research initiatives with emphasis
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objectives into robust pipelines, automate job orchestration and data movement, and optimize end-to-end workflow performance on large-scale Linux-based HPC environments and hybrid cloud/HPC platforms. Job
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with data-driven modeling, including emerging approaches involving foundation models or scientific LLMs Special Requirements: This position requires the ability to obtain and maintain a clearance from
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qubit engineering to quantum algorithmic analysis to applications across the physical sciences (condensed-matter or high energy physics, data science). You will Interpret, report, and present research
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enrichment. A successful candidate will collaborate with computer scientists and experimental facilities to develop verified models focused on enrichment technologies. This position resides in the Gas Testing
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. This section will advance the integration of high‑performance computing (HPC), artificial intelligence (AI), data science, and automation with experimental biosciences to enable predictive, scalable, and AI
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risk analysis. Computational dosimetry using stylized, voxel and mesh-type anthropomorphic phantoms Compilation and evaluation of radionuclide decay data and the construction of environmental source
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priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. Computer experience with standard software such as MS-Excel, MS-Word, and MS-Outlook is desirable. Special
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software systems to manage and process large datasets related to building energy modeling and data visualization Strong software development skills for automation of many knowledge-based tasks in a version