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. Machine/Deep learning techniques -- 3.2. Data management/curation, analysis, processing and exploitation -- 3.3. Generative AI and Large Language Models (LLM) such as GPT and open-source equivalents --3.4
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University of California, Los Angeles | Los Angeles, California | United States | about 17 hours ago
in addition to complex Digital Librarian computer job duties. The Admin Assistant III demonstrates complex and advanced EMIR Quality Assurance and PACS Image Quality Assurance competencies, following
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) assist in project management, data collection, and data analysis; (b) assist in writing the code for experiments with Large Language Models; and (c) perform any other duties as assigned by
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(VMTH) includes the Small Animal Hospital http://vethospital.tamu.edu/small http://vethospital.tamu.edu/small-animal-hospital animal - hospital and the Large Animal Hospital http://vethospital.tamu.edu
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: A Ph.D. in biomedical informatics, computer science, information science, data science, (bio)-statistics, (applied
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significatives de la consommation d'énergie, les plateformes de calcul haute performance (HPC) de nouvelle génération utilisées dans les applications d'apprentissage automatique, de big data et d'intelligence
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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the research project - “COMAC-PolyU Research institute for large aircraft (RILA)”. Qualifications Applicants should have an honours degree with knowledge of Aerospace and Aviation Engineering. Preference will be
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the research project - “Large-scale linear stability analysis of complex flow problems and its application”. Qualifications Applicants should have a master’s degree in Engineering. Preference will be given
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the Computational Rare Disease Genomics (CRDG) Team, which is led by Associate Professor Nicky Whiffin and based within the University of Oxford’s Big Data Institute. The CRDG team collectively use