12 parallel-programming "Michigan State University" Postdoctoral research jobs at Indiana University
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opportunities for collaboration with Michigan State University, the Milwaukee Police Department Academy, and IU’s network in cognitive modeling, AI, and human–AI decision research. This postdoctoral appointment
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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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of matter at the atomic scale. The postdoctoral researcher will lead the theory component of a research program, developing microscopic models of impurity-host coupling and identifying optical signatures
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intellectual curiosity. Ability to manage time effectively, meet deadlines, and plan project activities collaboratively within a team environment. Commitment to professionalism, scientific rigor, and the
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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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leading role in the synthesis of network observations, including forest inventory data (e.g. from the USDA Forest Inventory and Analysis program) and flux tower data (e.g. from AmeriFlux and FLUXNET
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with cancer immunology, we design nano-enabled therapeutics that modulate immune signaling and enhance crosstalk between myeloid and lymphoid cells. Our interdisciplinary research program spans
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Bloomington Position Summary 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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clinics and educational programs in Indianapolis and Fort Wayne, Indiana. Our main facility includes a state-of-the-art 45,000–square-foot James J. Fritts DDS Clinical Care Center on the IU-Indianapolis
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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