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dynamics (CFD) to develop and optimize new processes and equipment designs using high-performance computing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical
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modeling tools to develop and optimize new processes and equipment designs using high-performance computing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical
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, and optimize for energy efficiency HPC applications and high performance data stream analytics workloads. Use of novel accelerator designs, and automatic methods to model/predict how performance would
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-micron resolution of entire organs demands optimized data pipelines and methods to handle and visualize the resulting datasets. Additionally, beamline hardware must be optimized to ensure the highest data
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such as PyTorch and TensorFlow. Experience with high-performance computing and/or scientific workflow. Strong background in inverse problems, numerical optimization and image processing. Job Family
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, energy, and critical materials supply chains. In this role, you will be responsible for analyzing existing and future supply chains, with a specific focus on understanding the complexities and challenges
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of scientists and High-Performance Computing (HPC) engineers. In the AL/ML group, we work at the forefront of HPC to push scientific boundaries, carrying out research and development in state
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to understand molecular-scale processes occurring at aqueous-electrode interfaces associated with water purification in the AMEWS EFRC. This will be achieved through the use and application of various interfacial
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Argonne National Laboratory invites applications for a Postdoctoral Researcher position focused on the fabrication and characterization of membranes derived from layered materials. This role offers
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and measurements Familiarity with superconducting circuits and nanofabrication techniques Hands-on experience with dilution refrigerator operation and cryogenic measurements Knowledge of quantum