15 developer-"https:"-"Computer-Vision-Center-(CVC)" Postdoctoral positions at Indiana University
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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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. Candidates with interests in developing and implementing applied research projects aimed at improving reach and effectiveness of behavioral health services for young people, as well as understanding more about
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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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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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opportunities to conduct research with great apes at the Indianapolis Zoo if the fellow desires. The postdoctoral fellow will have the opportunity to connect with IU’s vibrant communities in child development
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multi-level datasets and contributing to statistical analyses. The researcher may also contribute to manuscript preparation and help develop new studies that extend the lab’s mission of using data science
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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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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
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experience in one or more of: large-scale data analysis, time-series photometry, spectroscopy, astrometry, Bayesian/statistical inference, and/or software development for astronomical datasets. Department