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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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of artificial intelligence and behavioral neuroscience. This individual will join our interdisciplinary team of computer scientists and behavioral neuroscientists seeking to identify the mechanistic and
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with a PhD in computer science or bioinformatics are encouraged to apply. We create statistical, machine learning, and deep learning approaches for the processing of this data, with a major focus on
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whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our
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Sciences Master of Health Administration (MHA) MS in Biostatistics MS in Global Health & Sustainable Development Doctoral Degrees: PhD in Biostatistics PhD in Epidemiology PhD in Health Policy and Management
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neuroimaging and fluid biomarkers, (b) systems biology analysis of pathways from multi-omics data using multi-layered network approaches, © machine learning for identification of genetic risk factors in ADRD, (d
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Matthew Aalsma, PhD; Zachary Adams, PhD; Kathleen Crum, PhD; Ally Dir, PhD; Leslie Hulvershorn, MD; Brigid Marriott, PhD; Casey Pederson, PhD; and Tamika Zapolski, PhD. Indiana University is a multi-campus
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review the application requirements and submit their application at https://indiana.peopleadmin.com/postings/30783 . Basic Qualifications PhD or equivalent terminal degree in exercise science, kinesiology
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position under the supervision of Dr. Chris Smith. Our new lab in Evolution, Ecology, and Behavior investigates machine learning approaches for population genetics. Our research integrates custom neural
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to study the influence of gut microbiota on malaria. Candidates must have a PhD degree with a strong research background in immunology, gut microbiome, or microbiology. Experience conducting research