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that will support future research in historical semantics and NLP. You will be responsible to the Principal Investigator and will collaborate with a team of postdoctoral researchers and external advisors
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information and reports; web-based and medical library-based search methods; and others, all to provide robust support for clinical decision-making. Education and Experience: - Strong publication record in NLP
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The Opportunity: Conduct research in Natural Language Processing (NLP), Computer Vision, and Artificial Intelligence (AI), with the goal of publishing in top-tier conferences such as CVPR, ICCV
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insights into computational models and help build open-source tools and resources that will support future research in historical semantics and NLP. You will be responsible to the Principal Investigator and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 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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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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cognitive science) and one postdoctoral researcher (working on NLP, with a focus on multimodal models combining vision and language). Your research will focus on developing, implementing and testing a general
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research agenda within the NLP@DSAI group at Chalmers. The position also offers opportunities to be involved in teaching and supervision. About us The Computer Science and Engineering department is strongly
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or desire to design and implement experiments that probe model vulnerabilities. Experience with NLP/LLMs or generative AI, adversarial ML, software engineering practices (Git, reproducibility, experiment
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economic effects of due diligence requirements. The project will also involve data collection and analysis using natural language processing (NLP) techniques to develop a more comprehensive overview of