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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD degree in Computer Science or a related discipline. A strong background in scientific data
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properties, validating simulations, and providing guidance on formal design, test planning, data analysis, and fabrication in collaboration with stakeholders. The role also involves collaborating with external
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Postdoctoral Research Associate who will focus on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data
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Application-driven Composable Distributed Storage. The candidate will be able to make research contributions in understanding and efficient use of distributed data storage and I/O subsystems for High
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strengths in high-performance computing, system architecture, and data analytics with applications in a large variety of science domains. NCCS is home to some of the fastest supercomputers and storage systems
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, work together, and measure success. Basic Qualifications: A PhD in Materials Science & Engineering, Computational Sciences, Physics, or a related field completed within the last 5 years Demonstrated
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: https://www.ornl.gov/content/research-integrity Basic Qualifications: To be eligible you must have completed a PhD in chemistry, physics, engineering, or a related field with in the last 5 years
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in high-performance computing and data analytics with applications in a large variety of science domains and NCCS is home to some of the fastest supercomputers and storage systems in the world
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, mentorship of junior staff, and the ability to influence program direction through data-driven engineering judgment and recognized subject-matter expertise. Key Responsibilities: Independently lead and perform
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of computational scientists, computer scientists, experimentalists, materials scientists, and conduct basic and applied research in support of the Laboratory’s mission. Engage with the broader community