31 parallel-computing-numerical-methods-";" Fellowship positions at Indiana University
Sort by
Refine Your Search
-
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
-
develop both high-throughput and gene-specific approaches for determining the functional consequences of human genetic variation. Current and developing projects include massively parallel splicing
-
Bloomington Position Summary Indiana University, Bloomington Luddy School of Informatics, Computing, and Engineering Department of Intelligent Systems Engineering Postdoctoral Fellow in Bio-Photonics
-
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
-
approaches for spatial population genetics. Our research integrates custom neural architecture design, simulations, and publicly available genomic datasets to develop new inference methods. The
-
spatial population genetics. Our research integrates custom neural architecture design, simulations, and publicly available genomic datasets to develop new inference methods. The Postdoctoral
-
pipelines for simulation experiments and analyzing genomic sequencing data; (2), designing, implementing, and overseeing research projects focused on methods development for understanding genetic
-
. Key Responsibilities • Manage Research Lab Social Media & Hate operations, including coordinating with students and managing computing infrastructure • Lead and expand Instagram analysis project
-
high-performance computing resources will support translational research aimed at improving kidney health. Special Instructions Priority Application Review Deadline Expected Start Date Posting Number IUSM-02341-2026
-
project management Experience with molecular microbiology methods (e.g., nucleic acid extraction, qPCR, dPCR) and quantitative data analysis Fieldwork experience, including environmental sampling