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Qualifications: Experience architecting hybrid AI systems that dynamically route between local and cloud models Hands-on experience setting up on-demand local model inference (GPU-backed or CPU-optimized
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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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Ridge National Laboratory (ORNL) seeks a motivated Postdoctoral Research Associate. This position primarily focuses on large-scale molecular dynamics (MD) simulations and AI-integrated multiscale modeling
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validation, uncertainty quantification, robustness analysis, surrogate modeling, or adaptive feedback/optimization. Excellent written and oral communication skills. Motivated self-starter with the ability
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background of training (or other direct experience) in control system design, simulation and optimization. Skilled in project management, proposal writing, funding acquisition, and sponsor/collaborator
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. Demonstrated expertise in using machine learning and optimization frameworks in conjunction with FE simulations to assist with component and/or process design is preferred. Excellent written and oral
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, accessibility, and performance. Backend: Build and operate APIs, services, and data pipelines; optimize performance and reliability; integrate with storage and compute platforms. Full-Stack: Own features end
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aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. This evergreen posting represents multiple openings for roles across ORNL’s high
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., YAML/JSON), and implement robust logging, error handling, and checkpoint/retry strategies. Operational Reliability and Optimization: Diagnose job failures, mitigate bottlenecks, and improve throughput
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and development projects related to the implementation of residential weatherization programs. The IBDA Group works to optimize the energy performance of residential buildings and residential