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Field
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next-generation multiphysics tomography sensors for real-time monitoring of industrial flows. By embedding AI directly into sensing hardware, fluiidd enables industries to “see” inside opaque systems and
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passionate about applying ML algorithms and developing AI applied research and innovation solutions using classic ML to novel transformer neural networks. We test and measure the real customer impact of each
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working with senior technical staff to research, design, develop, integrate, and test advanced optical sensor algorithms in constrained processing architectures. This position will be fully on-site in State
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: Translate ML-based error-correction / DPD algorithms into hardware-friendly forms (model reduction, sparsity, quantization, fixed-point design). Design the architecture and RTL of a low-power accelerator that
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 2 hours ago
. As such, HALO routinely deploys on different NASA aircraft in support of domestic and international field campaigns. Many of the campaigns are flown with other in situ and remote sensors including
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in applied machine learning and artificial intelligence. You have worked with tools, techniques, algorithms, software, and programming languages for deep learning, reinforcement learning, statistics
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sensor integration. Experience with SLAM algorithms (vision-, acoustic-, or inertial-based), state estimation (e.g. Kalman filtering, pose graph optimization), or collaborative positioning is highly valued
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, the objective of this thesis is to develop and test a real-time, tightly-coupled traversability algorithm that fuses information from both sensor modalities, therefore providing a more complete understanding of
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analysis; (b) develop and implement algorithms for 3D perception (e.g. segmentation, localization and mapping); (c) design and execute experiments to evaluate, validate and refine algorithms and
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fidelity, enabling precise characterization of transmitter errors and nonlinearities. These measurements will be used to generate error signals for advanced AI-assisted digital predistortion algorithms