34 machine-learning "https:" "https:" "https:" positions at Indiana University in United States
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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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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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some overlapping measures in the individual data sets and through the use of advanced analytic tools including machine learning and graph theoretics, one can discover multiple developmental pathways in
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of clinical and health informatics, systems interventions, community participatory research, human-computer interaction, usability, mobile technology, bioinformatics and biomedical engineering. Indiana is home
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of the position include teaching assigned courses in the Media Arts and Science and Informatics programs, developing courses for the traditional classroom setting, computer labs and for online education; help
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therapeutics, wearables, artificial intelligence (AI) and machine learning (ML), public health surveillance systems, and virtual/augmented/extended reality. Health conditions of interest are also broad and may
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and human disease, these groups provide research opportunities for undergraduates, medical and graduate students, and postdoctoral fellows. To learn more about this opportunity and to apply, visit https
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knowledge-grounded reasoning with flexible machine learning Tools that reduce manual burden while preserving traceability and clinical interpretability This position offers the opportunity to publish novel
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to incorporating generative AI (and related tools) to enhance student learning. Responsibilities Full-time lecturer-track faculty commit to a balanced workload of teaching and service, which includes: Teach graduate
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/chiplets/interposer/wafer-scale), quantum, superconducting, machine learning, edge computing, and security/privacy in computer architecture. Digital Logic Design and VLSI – including ASIC/FPGA design for