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of Business Intelligence (machine learning & LLM) to enhance the sustainability of regional tourism. On the supply side, a monitoring system is developed by extracting data from online platforms such as Google
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translation of energy efficient data storage to commercial success. The advent of artificial intelligence and the proliferation of cloud-based technologies call for denser, faster and more energy efficient data
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subgroups of patients. • Drug repurpusing through artificial intelligence techniques based on the aforementioned data. Where to apply Website https://sede.udc.gal/services/electronic_board/EXP2026/003883
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 18 days ago
research, development, and innovation centre active in the fields of High-Performance Computing (HPC), Data Analytics (HPDA), Artificial Intelligence (AI), and Quantum Computing (QC) and their applications
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for a candidate who: Holds an MSc degree in artificial intelligence, natural language processing, computer science, biostatistics, data science, (clinical) epidemiology, biomedical sciences, or a related
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 2 months ago
both experimental and numerical approaches assisted by Artificial Intelligence (AI), from laser-material interaction to liquid metal pool and microstructure generation. The overall objective
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for developing artificial intelligent approaches, preferably with experience in its application to energy management in electric vehicles. Experience of working effectively within a team environment. Excellent
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operations. The PhD will develop and implement artificial intelligence and data-driven methods for early anomaly detection, root cause diagnosis, and failure prediction on industrial systems, leveraging
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of artificial intelligence and continuous monitoring in bridge engineering" aims to develop an integrated methodology for proactive bridge management, moving from periodic inspections to data-driven maintenance
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wireless technology, cybersecurity, urban informatics, data sciences, artificial intelligence, renewable energy, and health, among others. Our faculty and students are part of the high-tech start-up culture