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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 6 days ago
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, interpretation
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using machine learning; Interpretation of soil profiles and moisture maps. Development and validation of digital tools: Support in building georeferenced web interfaces for data visualization
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optimisation. State-of-the-art digital models and AI tools that incorporate machine learning could enable predictions of the dry fibre forming that are subsequently used as input into the RTM process model
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tools and universal testing machines; 2) have experience using industrial metrology equipment; 3) have experience performing mechanical characterization tests and destructive testing;4) have experience
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requirements: Degree in Computer Engineering, Electrical and Computer Engineering or similar areas; Compliance with the Regulation on Research Grants, in particular with regard to compulsory enrolment in a
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(R1) Admission requirements: 1 - Bachelor's degree in Computer Engineering or similar areas* 2 - Experience in the use of Large Language Models (LLMs) and multi-agent platforms for the creation