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experience in Mobile Health (mHealth) research, texting interventions, fully remote clinical trials, Ecological Momentary Assessment (EMA), Natural Language Processing (NLP), digital phenotyping, and other
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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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or NLP for classification, prediction, or multimodal data processing Experience with annotation tools, data pipelines, or AI-assisted labeling workflows Strong research communication skills and a record of
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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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(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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learning analytics methods Experimental or quasi-experimental design; validity and measurement Working with LLMs, including prompting, fine-tuning, or evaluation Machine learning or NLP for classification
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 26 days 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 | 1 day 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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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