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a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in condensed matter physics, material science, chemistry, or nuclear engineer and
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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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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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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