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”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
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power cycles. The successful candidate will be employed full-time by NTNU for a period of three or four years. The candidate will be supervised by Professor Lars O. Nord with expertise on thermal power
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, Fundación Valenciaport, ASSIST Software, UBITECH, 52°North GmbH – and bound4blue. The utilization of Large Language Models (LLMs) based Knowledge Graphs, associated with Ontologies, for digital twin
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