42 unconventional-computing Fellowship positions at Indiana University in Ireland-University-Ranking-2024
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Posting Details Position Details Title Institute for the Study of Contemporary Antisemitism (ISCA) / Borns Jewish Studies Program - Visiting Research Fellow Appointment Status Non-Tenure Track
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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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designing and conducting experiments, developing and integrating photoacoustic and ultrasound systems, validating technologies in animal models, and performing quantitative data analysis and computational
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designing and conducting experiments, developing and integrating photoacoustic and ultrasound systems, validating technologies in animal models, and performing quantitative data analysis and computational
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translate these discoveries into precision medicine. We develop computational and statistical methods while integrating human genetics, single-cell and multi-omics, large-scale biobank resources, and
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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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Indianapolis Position Summary The Hato and Dagher Laboratories at Indiana University School of Medicine are seeking a motivated postdoctoral fellow to join our interdisciplinary research program at
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applications for a Postdoctoral Fellow to join the Human Evolutionary and Statistical Genetics (HESG) Lab. The HESG Lab develops statistical and computational methods to understand human population history and
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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