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: https://www.list.lu/ How will you contribute? You’ll be working on a production-grade Retrieval-Augmented Generation (RAG) system purpose-built for second-level controls on NAV computation in investment
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: https://www.list.lu/ How will you contribute? You’ll be working on a production-grade Retrieval-Augmented Generation (RAG) system purpose-built for KYC and fund due diligence. The system must read and
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discipline desired Minimum of two to three years’ software development experience with Python and SQL. Minimum of two to three years of experience building and deploying NLP and deep learning model pipelines
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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 | 26 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