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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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research projects aimed at improving reach and effectiveness of behavioral health services for young people are encouraged to apply. The fellow will actively participate in implementation, data analysis, and
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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
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, as well as teaching and grant writing experience are desirable. For additional information visit: iumsc.indiana.edu Basic Qualifications Required Qualifications: PhD in chemistry or related sciences
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leveraging multiple rich data sets and leading-edge analytic approaches supported by multiple NIH grants (R, U and P programs). Topics include (a) human genetics of ADRD using quantitative endophenotypes from
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leading to AD, 2) to improve early detection and longitudinal monitoring by combining neuroimaging (i.e., MRI, PET and MEG) and fluid (i.e., CSF and plasma) biomarkers and 3) to analyze genomic data
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fellow to join the lab of Dr. Bo Zhao, at Indiana University School of Medicine (IUSM) to study the underlying molecular mechanisms of auditory perception and deafness. More information on our current
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, biomarker, and genetics data across multiple studies. Expertise in biostatistics and familiarity with handling multiple data types, both cross-sectionally and longitudinally, are critical for success. IUSM is
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interests in social network analysis, data informatics, and developing, and implementing applied research projects aimed at improving reach and effectiveness of behavioral health services for young people