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epidemiology, biostatistics, and data science to support the design, implementation, and analysis of clinical and population-based research. Responsibilities include leading statistical analyses, developing and
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bioinformatics and biomarker research. This position focuses on the integration and analysis of complex biological data to identify and validate kidney disease biomarkers. Research Focus Our program leverages
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, and advanced imaging – to address complex health challenges. IU School of Medicine is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community
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oversee complex, multi-aim preclinical research projects in peripheral nerve regeneration, corneal neurotization, and trauma-induced endothelial dysfunction. Independently design experimental strategies
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partnership with the IU LAB Program Inventory, Gap Analysis & Branding Develop the IU LAB course catalog of offerings by identifying programming that aligns with IU LAB’s mission, as well as offerings that need
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personnel for training. Responsible for the initiation, monitoring, completion, and reporting of complex and intricate laboratory experiments. Organize and implement data review and analysis. Collaborate with
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contributes to heterogeneity in PD and how immune cell exhaustion may contribute to disease onset and progression. Perform statistical analyses, data integration, and interpretation of complex datasets
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Ph.D. in biology, psychology, animal behavior or related field and experience conducting behavioral experiments (in any species) is required. Strong skills in complex statistical analysis is preferred
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laboratory activities and maintain the progression of research projects. Supervise research technicians and student employees. Participate in protocol development, data analysis and report/manuscript
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, biotechnology, health care, and enable effective analysis of large, complex biomedical data sets (i.e., big data). Overall, IU Indianapolis research contributes significantly to the Indiana State economy, with