434 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" positions at Indiana University
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. Salary and benefits are commensurate with NIH rates based on training and years of experience. The Adolescent Behavioral Health Research Program (https://medicine.iu.edu/departments/pediatrics/specialties
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track) positions to teach Professional Skills (career/professional development) to undergraduates in the Communication, Professional, and Computer Skills area (CPCS), effective Fall 2026. Teaching will
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their highest potential. Improve, develop, and implement systems, procedures, policies, and faculty development opportunities. HOW TO APPLY Please see the online application here: https://indiana.peopleadmin.com
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can be found at https://kokomo.iu.edu/humanities-and-social-sciences/new-media-art-technology/index.html .The successful candidate will teach courses in a number of areas, including but not limited
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Science, Computer Science, Data Science, Neuroscience, or a related field by the start date. Demonstrated expertise in computational modeling of human behavior or computer vision / machine learning
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. Duties include: Organize and run the N-STORM super-resolution system and the A1 confocal system; teach the PBS neuroscience community for super-resolution and confocal microscopy use; optimize
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systems; longitudinal health data integration; genomic and multi-omics data analysis; AI and machine learning for precision diagnostics; predictive modeling of treatment outcomes; biomedical big data
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will include 12 credit hours (typically four courses) each fall and spring semesters. Faculty may also be required to teach evening, weekend, off-site, and/or online courses. Summer teaching is voluntary
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research position under the supervision of Dr. Chris Smith Home | Chris Smith . The lab— in the Evolution, Ecology, and Behavior section—investigates machine learning approaches for spatial population
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to hear from you. IU School of Medicine is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and