17 algorithm-development-"Meta"-"Meta" Postdoctoral research jobs at Indiana University
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University, to begin as early as July 1, 2025. Topics include the experimental quantum simulation of chemical and condensed-matter systems using 1D and 2D ion arrays, and the development and optimization
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waste. The projects are highly collaborative and multidisciplinary with excellent opportunities for advanced training and scientific development. Interested candidates will possess significant experience
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page statement outlining the applicant’s research interests and professional development goals 4. one writing sample (15-25 pages); 5. the names of 2–3 referees. For Best Consideration Date 05/12/2026
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Disease and Related Dementias (MAP-AD). This innovative and multidisciplinary project aims to develop brain oganoids derived from human iPSCs- to study vascular dysfunction in Alzheimer’s disease and
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laboratory activities and maintain the progression of research projects. Supervise research technicians and student employees. Participate in protocol development, data analysis and report/manuscript
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: The analyst will contribute directly to the development and advancement of NSSE and associated projects. This will include working collaboratively with NSSE’s Data and Reporting team to update NSSE by shaping
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opportunities to collaborate across Indiana University’s aging research network. Projects are clinically motivated and span mixed methods intervention development, usability testing, implementation research, and
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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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) from NIH studies and receive mentorship from faculty investigators toward the development of an independent program of research. Opportunities to become involved with other areas of work will arise
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the development and advancement of NSSE and associated projects by co-leading a number of initiatives focused on supporting higher education institutions use NSSE data most effectively. This will