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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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, Eskenazi Health, etc.). Regenstrief Institute is internationally recognized for its leadership in data standards (e.g., LOINC), clinical data networks (e.g., Indiana Network for Patient Care), and health
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professional network in the US. Required Qualifications: Ph.D. in microbiology, biochemistry, chemical biology or a related discipline, with no postdoctoral experience necessary at the time of appointment
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. • Rigorous research training • Grant-writing and career development support. • Support for conference presentations and professional networking. • Guidance in developing competitive career development and
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support from the PI, lab mates, and an interdisciplinary network of collaborators in genetics, neuroscience, psychiatry, computational biology and bioinformatics, statistics, and clinical research. Training
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focus on honing expertise and research acumen in the areas of adolescent firearm injuries and death, mental health, traumatic stress, and defining trauma networks to identify children and young adults
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bioinformatics tools for integration of multi-omics and gene regulatory networks. The long-term research goal is to answer the key scientific question “How non-coding genetic variant act through context specific
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, Eskenazi Health, etc.). Regenstrief Institute is internationally recognized for its leadership in data standards (e.g., LOINC), clinical data networks (e.g., Indiana Network for Patient Care), and health
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grant development. Collaborate with faculty investigators and national networks to advance best practices in clinical trials in nursing homes. Why Join Us? The Division of General Internal Medicine and
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system to determine cellular networks that lead to cell death and to establish molecules that can prevent degeneration. Experimental approaches being used in the lab include inner ear drug delivery, CRISPR