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state-estimation methods that fuse 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
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trait databases to assess ecosystem response to environmental forcing. The primary research focus is AI-forward, experiment-driven. This position encourages leveraging AI/ML methods to assess plant
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in quantum materials or quantum many-body physics, particularly quantum magnetism and strongly correlated systems, as well as classical methods such as exact diagonalization, tensor networks or DMRG
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