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imaging, social computing, and AI hardware. CASIA is the first national research institution to carry out brain-inspired intelligence research in China. CASIA also established the first School of Artificial
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within the “Artificial Intelligence for Polarized Fusion” project Where to apply Website https://pica.cineca.it/uniroma2/ Requirements Additional Information Eligibility criteria Eligible destination
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 12 days ago
. Clin. Med.,2025, 14(19):6752. https://doi.org/10.3390/jcm14196752 Khalifa, M., Albadawy, M. Artificial Intelligence for Clinical Prediction: Exploring Key Domains and Essential Functions, Computer
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the production deployment of the solution on an arthroscopy column; - Evaluate and validate the model during the different phases of the process. Advances in Artificial Intelligence now make it possible
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Università degli Studi di Roma Tor Vergata - Dipartimento di Scienze Chirurgiche | Italy | 23 days ago
project aims to develop and train an artificial intelligence–based multiplex network for individualised risk stratification in prostate cancer. By integrating genomic, transcriptomic, clinical, pathological
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are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship Topic of the internship: Artificial Intelligence / Machine Learning for ECSS space standards requirements
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intelligence, and predictive maintenance”. The research assignment aims to map and analyse the state of the art, identifying technological solutions for BuildAI based on the integration of BIM, artificial
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the CoSTAR Team lead by NASA/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy
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the CoSTAR Team lead by NASA/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy
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emphasizes statistical inference within high-dimensional testing frameworks and incorporates robust feature selection into artificial intelligence techniques. The team collaborates closely with the Stanford