14 computational-materials-physics "https:" positions at Oak Ridge National Laboratory
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devices for processing uranium-bearing and stable isotope compounds. The Mechanical Systems Modeling Group applies first principles and empirical approaches to advance the physics and engineering
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that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance and edge computing; The design of architectures
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: The selected candidate will work with technicians, process engineers, quality control engineers, quality assurance staff, supply chain staff, safety & security staff, and project managers to implement plans
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physics, materials science, applied mathematics, computer science, or a related field, and no more than five years of experience beyond PhD. Preferred Qualifications: Background in quantum magnetism
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, and documentation updates. Develop and maintain technical documentation and training materials for hardware systems. Collaborate with peers at SNS and other large-scale experimental physics facilities
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of equipment and research and development of processes for combining/separating chemicals, compounds, and related products and materials using principles and technology of chemistry, physics, mathematics
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offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US . Overview: The HRIS Functional Analyst IV serves as a senior subject
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fusion energy systems. This includes developing new machine learning models and software for scale-bridging and physics coupling in multiscale and multiphysics simulation codes for materials science and
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in applications related to gas dynamics, plasma physics, and radiation transport. The position comes with a travel allowance and access to advanced computing resources. The MMD group is responsible
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in advanced materials, chemistry, computational science, neutron scattering, nuclear physics, and plasma and fusion energy sciences. Targeted Research Directions: Candidates should demonstrate