15 high-performance-computing-"Multiple"-"Humboldt-Stiftung-Foundation" Postdoctoral positions at Oak Ridge National Laboratory
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computing AI on High-Performance Computing (HPC) cluster. Examples on areas of research interest include but are not limited to: Vision transformers AI foundation models Computing and energy-efficient
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at the intersection of quantum information science and fundamental materials physics. The research program focuses on understanding the fundamental limits of spin-based quantum sensors as probes of magnetic and
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, data analytics, geospatial science and technology, nuclear nonproliferation, and high-performance computing for sensitive national security missions. We also enhance ORNL contributions to national
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(CSD), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL). This position is focused on the advancement of high-precision mass spectrometry and innovative chemical methods
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of the field through the development and use of machine learning, deep learning, and high-performance computing (HPC). This position resides in the Chemical Separations Group in the Separations and Polymer
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to the performance of high-power accelerators such as the Spallation Neutron Source (SNS). The goal of this work is to demonstrate predictive modeling of beam distributions in a realistic accelerator, and as such
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to the performance of high-power accelerators such as the Spallation Neutron Source (SNS). The goal of this work is to demonstrate predictive modeling of beam distributions in a realistic accelerator, and as such
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industrial heat pumps). The role also involves research and analysis of technologies and practices for increasing the energy efficiency of the industrial sectors. The primary objective is to deliver the direct
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in presentations. Preferred Qualifications: Experience designing and implementing custom hardware acceleration solutions on FPGAs for the purpose of high-performance computing, real-time data analysis
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.) Understanding of computational scaling techniques for machine learning and high-performance computing Preferred Qualifications: A strong publication record demonstrating either core machine learning capabilities