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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 3 days 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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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 3 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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numerical methods for quantum many-body systems, (iii) correlated electronic structure theory, (iv) tensor network algorithms. Applications should be submitted by March 1, 2026 for full consideration
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related to staff position within a Research Infrastructure? No Offer Description The Leverhulme Centre for Algorithmic Life is a major new interdisciplinary research hub dedicated to the study of how
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. Through continuous structural monitoring systems Through continuous structural monitoring systems and artificial intelligence algorithms (machine and deep learning, hybrid physical-data driven methods
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Number R260009 Posting Link https://www.ubjobs.buffalo.edu/postings/60694 Employer Research Foundation Position Type RF Clerical/Technical Job Type Part-Time Appointment Term Salary Grade N.11 Posting
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advantageous. Proficiency in algorithm development using Python will be advantageous Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405545/research-fellow-ai-… Requirements
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responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real
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sciences, field of information science for the group of subjects related to data structures and algorithms at the Department of theoretical and applied foundations of information sciences Where to apply E
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research team working at the intersection of machine learning, algorithmic fairness, human-computer interaction, and responsible AI. The project aims to investigate how bias emerges in data pipelines and AI