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High Performance Computing. Expertise in image and spatiotemporal data processing. A strong publication record in peer-reviewed journals and conferences. Excellent written and oral communication skills
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Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD in Materials Science & Engineering
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utilizing GPU (NVIDIA and AMD) clusters for AI/ML and/or image processing. Knowledge of networking fundamentals including TCP/IP, traffic analysis, common protocols, and network diagnostics. Experience with
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specify FPGA based applications Design and implement improvements to the software development, build, test and deployment environment and processes to ensure robust reliable solutions transition
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measure success. Basic Qualifications: A PhD in Materials Science and Engineering or a related field completed within the last 5 years Preferred Qualifications: Strong background in computational and image
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). Experience managing systems utilizing GPU (NVIDIA and AMD) clusters for AI/ML and/or image processing. Knowledge of networking fundamentals including TCP/IP, traffic analysis, common protocols, and network
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grid analytics, and scientific imaging. The successful candidate will design and implement sparse algorithms for large-scale scientific and numerical computations. This role offers an exceptional
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using GPU/CUDA clusters for AI/ML and/or image processing. Proven ability to work in a dynamic environment and support large data systems. Effective documentation skills, including ability to prepare
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handling. Experience with image processing. Experience with MATLAB. Excellent written and oral communication skills. Demonstrated ability to function well in a fast-paced research environment and set
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technology. The successful candidate will provide research and development (R&D) leadership to the group that strategically advances science and technology focused on gas testing of prototype enrichment