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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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of Biostatistics and Health Data Science at Indiana University School of Medicine, in close collaboration with the Regenstrief Institute, a nationally renowned center for health informatics research and real-world
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computational pipelines for conducting simulation experiments and analyzing genomic sequencing data, (3) writing scientific publications and presenting findings at conferences. Other general responsibilities
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other molecular biology required for enzyme production and engineering, synthesis of substrates and product standards, high throughput screening of enzyme libraries, and application of computational
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, Behavioral Neuroscience, Neuropharmacology, Computational Neuroscience, and / or other related fields, are encouraged to apply. Experience in rodent brain surgeries, behavioral tests, confocal imaging, ex vivo
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, omics, physiological signals, clinical notes), and causal AI (causal inference, discovery, counterfactual reasoning). The successful candidate will collaborate with an interdisciplinary team of computer
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required for enzyme production and engineering, synthesis of substrates and product standards, high throughput screening of enzyme libraries, and application of computational protein design tools. Careful
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: (1) Designing, implementing, and overseeing research projects focused on methods development for understanding genetic variation within and between populations, (2) building computational pipelines
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of Biostatistics and Health Data Science at Indiana University School of Medicine, in close collaboration with the Regenstrief Institute, a nationally renowned center for health informatics research and real-world
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or interest in the use of artificial intelligence, machine learning, or computational tools in behavioral and experimental economics is appreciated. Strong emphasis will be placed on demonstrated research