65 parallel-programming-"Multiple"-"Simons-Foundation" research jobs at Indiana University
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BIOLOGY (BL-BI-IUBLA) The department of Biology is a large, unified department with strong undergraduate degrees, nationally-ranked graduate programs, and world-class research spanning the breadth
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supplemental life, long-term disability, critical illness, and supplemental accidental death & dismemberment insurance Base retirement plan with generous IU contributions, subject to vesting Voluntary
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collaboratively. Preferred Qualifications: Proficiency in spectroscopic methods, data analysis, and scientific programming will be advantageous. Department Contact for Questions Questions can be directed to: Prof
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Cullin. The position will begin in fall 2025. The successful applicant will contribute to the development of a research program in biological normalcy. Biological normalcy is framework within which
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-funded T32 Training Program is in place. Indianapolis is the capital and most populous city in the State of Indiana. It is growing economically thanks to a strong corporate base anchored by the life
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Design , both in the School of Public Health-Bloomington (SPH-B) at Indiana University . Dr. Holden’s research program pursues “better health, by design” by developing and testing health interventions
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of manuscripts, as well as user support and training and technical consultation. Experience with routine instrument maintenance and repair is expected. Knowledge in computing, information technology, programming
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of the unique genetically modified animal models The Division provides a highly collaborative environment and the possibility to grow. An NIH-funded T32 Training Program is in place. Indianapolis is the capital
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to contribute to cutting-edge research investigating the physiological and psychological impacts of spaceflight. Our program focuses on human analog studies to simulate microgravity and explore
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health records-based biological databases and biobanks such as UK Biobank, NIH All of Us Research Program, etc. Interest in gaining hands-on experience working with very large human datasets, social