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, natural language processing (NLP) and machine learning Connected and autonomous vehicles Disaster and natural Hazard assessment and management Discrete element method (DEM) and finite element methods (FEM
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Language Processing (NLP), as well as other industry technology trends, to recommend innovative solutions. Collaborates with business stakeholders to identify opportunities for AI/ML adoption and translate requirements
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of such mandates. Within this project, your main task is to help analyze the country-level implementation of the CSDDD in the European Union (see e.g., http://www.eu-regulations.com/) and study the reporting and
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Intelligence, or a closely related field Solid experience in one or more of the following: NLP, speech processing, human-AI interaction, or agentic-AI systems Strong programming skills in Python and familiarity
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, LangChain, HuggingFace, axolotl. Knowledge of and ability to select, adapt, and effectively use large AI foundational models. Professional experience developing solutions using NLP, computer vision, or
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
methods for factuality/hallucination testing, robustness, calibration, bias/fairness, and/or adversarial stress-testing. - Solid programming and ML/NLP engineering skills in Python and ideally modern deep
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
methods for factuality/hallucination testing, robustness, calibration, bias/fairness, and/or adversarial stress-testing. - Solid programming and ML/NLP engineering skills in Python and ideally modern deep
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Computer and Information Science (https://cse.aua.am/ ) invite applications for a full-time faculty position in Machine Learning at the rank of Assistant Professor, starting in July 2026. Faculty members
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and students with consultation and training in Python, NLP/LLM workflows, data acquisition and curation, and reproducible research. Partnering with campus data resources, this role advances rigorous
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) Project description Current Natural Language Processing (NLP) systems, and especially large language models (LLMs), are interacting with human emotions more readily than earlier AI systems, but we still