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Field
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simulations on High Performance Computing, the ability to analyze and organize large datasets or model outputs, knowledge of Unix/Linux, and experience with commonly used software and protocols in
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-temperature and/or high-pressure power cycles and/or components, or sCO2 cycles and/or components thermal processes or high-pressure systems High-Performance-Computing Software toolset development Research
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experiments is strongly required Programming expertise in Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability to model Argonne’s Core
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—are especially encouraged to apply. The ANL ATLAS group maintains strong involvement across the experiment, including detector operations, TDAQ upgrades, Software and Computing, ML development, and High
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infrastructure, core lab funding, and Advanced ERC grant funding Extensive collaborative opportunities with other lab members, labs, and institutes High-performance life sciences and compute infrastructure with
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RNA-seq, ATAC-seq, and ChIP-seq. Experience in working with high-performance computing environment. Experience in data management and developing data-processing pipelines. Proficiency in programming
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 hours ago
must protect from extreme environments and phenomena, such as deformation, impact and high-enthalpy heating. Woven material performance depends on microstructure, damage and weave geometry. Therefore
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to analyzing data Knowledge of high-performance computing, such as parallelization, the use of C++, or interfacing with specialized linear algebra packages Other Information: Work arrangement: On-site Candidates
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define requirements and performance specifications for future HEP/NP detector systems Perform detector concept development, system-level design, and optimization leveraging emerging computing architectures
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are preferred. The Department of Computational Biology provides access to high-performance computing clusters, a cloud computing environment, innovative visualization tools, highly automated analytical pipelines