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projects in at least one of the following areas: machine learning, NLP/LLM, data analysis, software development, or medical data processing Willingness to familiarize yourself with medical standards, data
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The Chinese University of Hong Kong, Shenzhen | Eastern Shores, KwaZulu Natal | South Africa | 27 days ago
Priorities: We seek applications across all AI domains, with emphasis on: Foundational AI : Machine Learning, Computer Vision, NLP, Robotics & Embodied Intelligence, Data Science. Interdisciplinary Frontiers
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managers, and faculty experts. Willingness to participate in client meetings in a supporting role. Preferred Experience Exposure to NLP, computer vision, or speech processing through coursework or academic
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other machine learning model evaluation/deployment, clinical data pipeline development, and natural language processing (NLP)-based chart abstraction. The work will be performed using publicly available
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of a peer learning community. More information about our department and instructional programs is available at https://www.cpp.edu/cs/ . Position description: The Department of Computer Science at Cal
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implement several complementary informatics tools for EHR research, improve the quality of the existing structured data and add to it data extracted from clinical text using natural language processing (NLP
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.) Participate in state working groups (ICC Working Group, Ready NWI, etc.) Work with schools and departments to determine NLPS alignment opportunities Participate in relevant NACEP/INCEP webinars Assist in all
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Number U250093 Posting Link https://www.ubjobs.buffalo.edu/postings/59894 Employer University Affiliates Appointment Term Position Type Posting Detail Information Position Summary This is a NIH, NLM T15
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large language models, social media analytics, and the application of AI and NLP to understanding and improving online information ecosystems, including social media platforms and digital communication
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in advanced machine learning (e.g., NLP, LLMs, computer vision, mathematical foundations for AI and data science, ML security), and/or proficiency in at least one sensing modality. Although