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Field
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extracting data using advanced Natural Language Processing techniques, a knowledge graph of the Romanian labor market will be created. Through an Agent-based Modeling approach the dynamics of the labor market
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processing. Integration of Large Language Models with Knowledge Retrieval: Assist in the use and integration of APIs, open-weight models, etc. combined with large graph databases. Qualifications Bachelor’s
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Smartification of water quality and safety monitoring for water distribution systems School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded Students Worldwide Dr
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the safe deployment of AI systems in real-world environments. Current research activities focus on topics such as: Constrained Generative models for graph and tabular data. Security, robustness, and
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research activities focus on topics such as: Constrained Generative models for graph and tabular data. Security, robustness, and trustworthiness of AI systems Evaluation, benchmarking, and testing of AI
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, such as InfiniBand and Ultra Ethernet. Our project will also deliver a comprehensive set of PyTorch libraries, encompassing various optimized models for scientific applications, including Graph Neural
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findings in peer-reviewed journals, and mentoring junior researchers. This position requires an advanced degree (PhD [preferrable] or Masters) in a field related to research design and/or applied statistical
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en entornos impulsados por IA. -- Contributing to the design and development of semantic interoperability frameworks based on ontologies and knowledge graphs for heterogeneous data ecosystems
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spectral analysis, entropy-based metrics, graph representations of cardiac conduction, and supervised, unsupervised, and deep learning approaches for classification of abnormal electrical activity within
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and motivated PhD student to contribute to the development of the next generation of DNA computers, capable of processing large molecular databases. The project will combine concepts from molecular