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, transfer learning, federated learning, data integration, algorithmic fairness, survival analysis, and methods for heterogeneous and multi-source data. Training Environment and Career Development
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working in this area include Profs. Stephon Alexander, JiJi Fan, Antal Jevicki, David Lowe, Marcus Spradlin, Chung-I Tan, and Anastasia Volovich. Applications should include a CV, research statement, and
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of Biostatistics at Brown University is seeking a highly motivated individual for a postdoctoral research associate position interested in developing statistical methods for modeling medical imaging data
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in a supportive environment focused on community and career development. Applicants in any discipline of the humanities (anthropology, history, sociology, philosophy, literature, language, and the arts
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team to develop teaching methodologies that combine theoretical learning with AI in the classroom. Candidates should address how they would contribute to the research and/or teaching missions of our