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Field
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. The project will involve development of novel parallel algorithms to facilitate in-situ analyses at-scale for multi-million and multi-billion atom simulations. In this role, you can expect to work on enhancing
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expertise across multiple levels—from circuits and architectures to algorithms, models, and systems—and includes opportunities for radiation testing at the NASA Space Radiation Laboratory (NSRL
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Appointee-mentor relationship Prompt disclosure to the mentor regarding the possession and desire to distribute materials, reagents, software, copyrightable and potentially patentable discoveries derived from
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advanced automated machine startup and commissioning tools. What You Will Do: Conduct pioneering research in the development and application of machine learning algorithms for accelerator physics
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and commissioning tools. What You Will Do: Conduct pioneering research in the development and application of machine learning algorithms for accelerator physics. Collaborate with interdisciplinary teams
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expertise across multiple levels—from circuits and architectures to algorithms, models, and systems—and includes opportunities for radiation testing at the NASA Space Radiation Laboratory (NSRL
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
language models to build database of magnetic materials (30%) Use ML models to explore algorithms for three-dimensional magnetic reconstruction (40%) Explore other applications of machine learning, broadly
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of the following: quantum field theory, quantum information, out-of-equilibrium dynamics, theoretical cosmology, particle physics, gravity, or quantum algorithms. Candidates are expected to demonstrate
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applications. Hands-on work with Verasonics Vantage or similar programmable ultrasound systems. Practical experience implementing image-reconstruction algorithms. Demonstrated skill in handling mouse and rat
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/interest with or prior experience working with NGS algorithms such as PLINK, or experience working in a cloud computing environment or UNIX/linux/HPC cluster. Department Contact for Questions Dr. Bohdan