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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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of the application deadline. Preferred factors: The selection will value candidates with interest and/or experience in the following areas: a) Demonstrated experience in machine learning and deep learning techniques
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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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expertise in UK governance and the pedagogy of Politics (the latter potentially to include areas such as problem-based learning, partnership pedagogies, community engaged learning pedagogies, simulations, and