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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | about 1 month ago
include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools for semantic search
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and implementation of parton-shower algorithms and their matching to higher-order pertubative computations in Quantum Chromodynamics. Additionally the analyses of the results in the context of the LHC
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the project is the development of AI-based pipelines for detecting, segmenting, and classifying lichen communities. Convolutional neural networks (e.g., U-Net, DeepLab) and machine-learning algorithms (e.g
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