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methods with historical research, including the co-creation and interpretation of analyses based on natural language processing (NLP); actively participating in the work of the research team and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months 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 | 2 days ago
, robustness, calibration, bias/fairness, and/or adversarial stress-testing. - Solid programming and ML/NLP engineering skills in Python and ideally modern deep-learning stacks (e.g., PyTorch/JAX, HuggingFace
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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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(NLP) with an interest in addressing social and ethical concepts; you have a focus on value alignment research, addressing bias, and fairness in AI; you have a socio-technical or design background
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
world. Position Summary Two postdoctoral researcher positions are available at UNC under Prof. Mohit Bansal in the UNC-NLP Lab. The focus of this NLP+ML postdoc position will include, but is not limited
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
is available at UNC under Prof. Mohit Bansal in the UNC-NLP Lab. The focus of this NLP+ML postdoc position will include, but is not limited to, multimodal+embodied semantics, human-like language