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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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applications for a post-doctoral 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
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facilities include a low-energy neutron source (LENS) available for neutron detector development and testing, high-bay facilities for large-scale fabrication, professional and student machine shops, a
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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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Experience in one or more of the following areas is preferred: Statistical genetics Human genetics Population genetics Evolutionary genetics Bayesian statistics Machine learning Large-scale genomic data
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the laboratory is not required. We are especially interested in individuals who are intellectually curious, enjoy learning new approaches, and want to pursue mechanistic questions across conventional disciplinary
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for additional information about the Department of Medicine. About the Campus: To learn more about the Indiana University-Indianapolis campus, please visit: https://indianapolis.iu.edu/about/ About Indianapolis
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, and integrated imaging-therapy platforms Translational immunotherapy — combining ultrasound priming with CAR T and other cellular therapies for solid tumors What We Offer Competitive NIH-scale salary
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scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities
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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