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at ORNL, along with computational tools for integrated atomistic modeling in support of materials research for extreme environments. The candidates will develop and apply advanced experimental
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within the last 5 years Preferred Qualifications: Experience in one more of the following areas: Mathematical tools for data analysis Numerical methods for differential and integral equations Modern
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record with publications in journals/conferences related to scientific visualization, scientific computing, and/or artificial intelligence. Strong experience in using techniques or tools relevant
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or tools relevant to scientific visualization, ML/AI, HPC, and statistics. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across
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structure and statistical mechanics codes, and data science tools would be highly desirable Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and
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Simulation & Data Processing: Use and extension of Allpix2 and TCAD-based simulation tools. Generation of large simulation datasets for algorithm training and validation. Integration of simulation with
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manufacturing competitiveness analysis relevant to advanced manufacturing technologies. The team builds and applies analysis tools and analytics to draw insights on the manufacturing sector’s impact on energy
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AI tools that can control simulation and/or experiments. Present and report research results and publish in peer-reviewed journals in a timely manner Ensure compliance with environment, safety, health
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. Demonstrated experience developing and running computational tools for high-performance computing environment, including distributed parallelism for GPUs. Demonstrated experience in common scientific programming
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other MEERA Group industrial technical deployment (Better Plants) and Energy System Software Tools development projects. Help support the development of new resources, trainings, and tools to support