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administrative data. Experience with large language models, natural language processing, medical text mining, or clinical AI. Strong programming skills in Python and/or R. Familiarity with medical terminology
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ecosystem Experience in edge AI, model optimization, or deployment of AI models on-device Strong programming skills and experience building robust research or product-grade software Ability to work
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analysis. Proficiency in statistical programming and data management using software such as SAS, R, or Stata, with strong skills in data manipulation, cleaning, and analysis. Evidence of scholarly
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quantitative discipline. In addition, the successful candidate will demonstrate: Programming proficiency in at least R or Python (ideally both), plus comfortable use of Unix/Linux shell. Hands-on experience