18 genetic-algorithm-computer Postdoctoral positions at Indiana University in United States
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of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests
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, Python, Mplus, or similar) - Familiarity with big data, Linux systems, and remote computing clusters - Experience with genome-wide statistical genetics approaches (e.g., GWAS, genetic correlations, PGS
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teaching environment. Our long-standing strength lies in integrating various life‑science fields – from cell and molecular biology and genetics to anatomy, neuroscience, musculoskeletal biology, histology
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Postdoctoral Researcher – AI-Augmented Decision Science Indiana University Bloomington Department of Psychological & Brain Sciences and Luddy School of Informatics, Computing, & Engineering Position Overview
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Behavioral Health Research Program at the Indiana University School of Medicine is currently seeking applications from highly motivated, team-oriented candidates for a research postdoctoral fellowship. The
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, archival studies, library and information science, museum studies, public history, or a related field (degree must be conferred by start date) • Excellent written and verbal communication skills
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developing a new quantum sensing platform for probing correlated phases of matter at the atomic scale. The postdoctoral researcher will lead the theory component of a research program, developing microscopic
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PhD in informatics or a related discipline (e.g., computer science) · Ideal candidates will have EITHER, both are not required o Experience recruiting and retaining adolescents in longitudinal
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. Knowledge and understanding of modern molecular biology, immunology and biochemical techniques including ChIP-sequencing and other multi-omics techniques is a plus. Strong analytical and computer skills are
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transit as well as Gaia/LSST discoveries. Indiana University also provides excellent research computing resources (high-performance computing clusters, large-scale storage, and advanced visualization