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methods, work with real messy multi-source data, and contribute to infrastructure supporting population-level research and health equity. The postdoctoral fellow will be based in the Department
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methods, work with real messy multi-source data, and contribute to infrastructure supporting population-level research and health equity. The postdoctoral fellow will be based in the Department
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questions, advancing deep learning models, or other topics discussed with the PI. We use publicly available and simulated genomic data. Core job duties include: (1) Building computational pipelines
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person to join our team. Core topics to work on: (1) In vitro assays to determine inhibitor efficacy against redox membrane proteins (2) Cysteine enrichment of DsbA substrates in E. coli and Mycobacteria
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conduct research related to creating or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI. Basic Qualifications Core
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specificity among thiol-disulfide oxidoreductases and finding novel inhibitors against oxidative folding. We are excited about science and looking for another positive, curious person to join our team. Core
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research institutes and centers including Regenstrief Institute, Center for Computational Biology and Bioinformatics, Indiana Clinical and Translational Science Institute (CTSI), Indiana University Simon
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related to creating or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI. Basic Qualifications Core job duties include