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(or similar NLP services) to auto-extract Human Phenotype Ontology (HPO) terms from de-identified clinical documentation. Design high-throughput ETL workflows that parse heterogeneous datasets for ingestion
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Posting Summary Logo Posting Number STA00036PO26 Job Family Information Technology Job Function IT Business Systems Analysis USC Market Title IT Business Analyst Link to USC Market Title https
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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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. Demonstrated ability to manage and prioritize multiple tasks and to work with shifting priorities and schedules. Working knowledge of AI concepts such as machine learning, large language models, NLP, copilots
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computational linguistics. The selected candidate will assist with specific projects in CIDSAI that involve Arabic NLP, and will be housed in the CAMeL Lab. Since its establishment in 2014, the CAMeL Lab has
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 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 | about 22 hours 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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about the School of HSS can be found here: https://www.xjtlu.edu.cn/en/study/departments/school-of-humanities-and-social-sciences RESPONSIBILITIES AND DUTIES: The successful candidate will be based in one
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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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into structured formats using ontologies and NLP-based approaches. Support clinical decision-support tool development for precision neurology and rare disease programs. Collaboration, Communication & Training