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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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investigate the relationship between the physical and chemical properties of sulfur cathodes and their electrochemical performance. Experience with various electrolytes, including both liquid and solid
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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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) at Argonne National Lab (near Chicago, USA). The postdoctoral researcher will work on the development of large-scale molecular dynamics, AI and machine learning based analysis to understand ferroelectric
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sector energy use modeling, optimization, and analysis, encompassing both supply-side and demand-side technology transformations needed for achieving near zero emissions by 2050, a goal also often referred
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interaction with complex data. The candidate will advance techniques in visualization, data analysis, and high-performance computing (HPC), integrating artificial intelligence (AI) and large language models
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HEP-CCE (Center for Computational Excellence) Storage Optimization. The HEP Division performs cutting-edge research facilitated through advanced detector development, high-performance supercomputing
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, optimize, test and run large-scale parallel applications on HPC systems. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term) Time Type Full time The expected hiring
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environment where all can thrive. Preferred Qualifications: Familiarity with high performance computing (HPC) software platforms. Ability to develop, optimize, test and run large-scale parallel applications