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professionals to accelerate scientific discovery and engineering advances across a broad range of disciplines. As an important part of the broader High-Performance Computing (HPC) infrastructure, the division
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LiDAR, IMU, camera, and wheel-odometry data in GPS-denied, low-light environments. Implement LiDAR-based or LiDAR-inertial SLAM, factor-graph or pose-graph optimization, loop-closure validation, drift
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frameworks such as Qiskit, CUDA-Q, PennyLane, Cirq, or equivalent platforms, and knowledge of quantum algorithms, quantum error correction, fault-tolerant computing, or quantum resource estimation. Experience
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distributed codes using MPI, OpenMP, CUDA, ROCm, and related HPC technologies while bridging theoretical AI models with real hardware constraints. Cross‑Paradigm Integration(new optional emphasis): Explore how
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parallel programming with MPI, OpenMP, CUDA, HIP, and application-specific libraries Experience in developing, debugging, and profiling massively parallel codes Experience in multiple scattering methods
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commercial (e.g. Abaqus, ANSYS, etc.) and/or open-source finite element (FE) codes (e.g., MOOSE, DAMASK, etc.) is required. Experience with microstructural modeling (e.g. crystal plasticity) applied to fatigue
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, qualification, and deployment of AI agents and models, Computational Fluid Dynamics (CFD) simulation codes, and Finite Element Method (FEM) based tools for nuclear energy (fission and fusion) applications
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research, as indicated by conference presentations and/or publications in peer-reviewed journals. Ability to work independently and collaboratively as part of a large multidisciplinary team. Proven ability
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Spallation Neutron Source and Battery Manufacturing Facility. This position will support the laboratories mission of world leading interfacial spectroscopy as a key part of energy storage science and
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record of independent and productive research, as indicated by conference presentations and/or publications in peer-reviewed journals. Ability to work independently and collaboratively as part of a large