236 learning "https:" "https:" "https:" "https:" "https:" positions at Indiana University
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management. Artificial Intelligence & Machine Learning: Predictive risk modeling for falls, hospitalization, and cognitive decline; Natural Language Processing (NLP) for remote cognitive assessment; image
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Science or Intelligent Systems Engineering Department. We seek candidates who can teach and lead cutting-edge research in AI, including generative AI, to bridge biomolecular data—such as genomics and pharmaceutical
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cardiac development, developmental programming, metabolic models, or next-generation sequencing is preferred, and candidates from adjacent fields with a clear interest in learning embryology are encouraged
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Science or Intelligent Systems Engineering Department. We seek candidates who can teach and lead cutting-edge research in AI, including generative AI, to bridge biomolecular data—such as genomics and pharmaceutical
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glycosylation on the function and differentiation of T cells in acute and chronic infections and 4) immunological aging with an emphasis on understanding maintenance T cell quiescence. See https://medicine.iu.edu
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these application materials to https://indiana.peopleadmin.com/postings/34180 . To be given fullest consideration, applications should be received no later than September 15, 2026; however, the search will remain
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quantitative measurement to these system -from single molecules and nanoparticles to living systems, enabled by advances in instrumentation, spectroscopy, mass spectrometry, microscopy, and machine learning
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welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We
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) describing past and future work Applicants for the Assistant Professor position should apply at https://indiana.peopleadmin.com/postings/34288 and provide contact information for three letters of reference
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salary that is not RVU-based IUSM and IUHMG are committed to providing inclusive benefits for eligible employees and their families. To learn more, click here: IU – https://hr.iu.edu/benefits IUHMG – https