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, and machine learning . The project aims to develop AI methods for mesoscale structural biology, understanding how cellular macromolecules organize into higher-order structures. You will work in a
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and operations in the following areas: Soil & Groundwater; Deactivation & Decommissioning; Tank Waste; Robotics; Machine Learning; Artificial Intelligence; Cybersecurity; and Advanced Manufacturing
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developing and applying digital tools in neurorehabilitation. Hands-on experience in machine learning techniques: theoretical foundations (e.g., model evaluation, data pipelines) and/or practical
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and high-resolution mapping methods with advanced machine learning feature detection to enable evolving subsea scenes to be robustly aligned across repeat surveys. You will develop probabilistic models
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network analysis, social media analysis, and machine learning. An active research agenda with a record of, or clear potential for, publication in internationally recognized venues. Excellence in teaching