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for Alzheimer’s disease and related dementias (ADRD) in older patients with multiple chronic conditions and cognitive impairment. This clinical research-focused position involves working with clinical, imaging
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dissemination of findings(manuscripts, presentations) from multiple NIH-funded clinical trials and studies. Additional opportunities include contributing to studies on youth-participatory and community-engaged
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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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to identify novel targets for diagnostic use and therapeutic intervention. Fellows will work on research problems using rich data sets and leading-edge analytic approaches supported by multiple NIH grants (R, U
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pathophysiology of the inner ear using multiple genetic mouse models and a novel human stem cell-derived 3D inner ear organoid model. We study genetically-mediated hair cell and neuronal degeneration in these model
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dedicated to their experiments, office space, workstations, and travel funds to present at meetings. Salary is commensurate with experience. Qualifications: Required: A PhD in neuroscience or a related field
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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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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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who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana. Basic Qualifications Doctorate degree requirements. Applicants must have a PhD in cell
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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