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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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work independently and collaboratively in a diverse team setting Candidate has experience with web-app programming -- HTML, CSS, JavaScript and TypeScript. Experience with the following is
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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
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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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, or a similar scripting and visualization language. Experience with high performance computing. Strong competence in programming with C/C++ or Fortran for model development & debugging. Competence in
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considerations. The Postdoctoral Fellow will join a research team whose thematic interests are focused on melding AI and Indigenous language learning through games design, building an Indigenous knowledge