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bioinformatics and biomarker research. This position focuses on the integration and analysis of complex biological data to identify and validate kidney disease biomarkers. Research Focus Our program leverages
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Position Summary Dr. Matthew Aalsma, Vice Chair of Health Services Research and Director of the Adolescent Behavioral Health Research Program in the Department of Pediatrics at Indiana University School
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-envelope phase/offset, balanced homodyne detection; keywords in theory includes: relativistic quantum information science, quantum field theory, quantum optics, quantum fluctuations of the vacuum, Unruh
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Specialist for a National Institutes of Health (NIH) funded fellowship in public and population health informatics. This unique post-doctoral program is located on Indiana University’s Indianapolis campus
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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 of correlated and
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interests in social network analysis, data informatics, and developing, and implementing applied research projects aimed at improving reach and effectiveness of behavioral health services for young people
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Ware, MD, Phd (https://medicine.iu.edu/faculty/22816/ware-stephanie) is the Chair of the Department of Medical and Molecular Genetics as well as the program leader of the Cardiovascular Genetics Program
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Location Bloomington Position Summary The IU experimental nuclear physics group has an active program addressing fundamental questions in nuclear physics, particle physics, and astrophysics/cosmology. Group
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Bloomington Position Summary Indiana University, Bloomington Luddy School of Informatics, Computing, and Engineering Department of Intelligent Systems Engineering Postdoctoral Fellow in Bio-Photonics and
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, balanced homodyne detection; keywords in theory includes: relativistic quantum information science, quantum field theory, quantum optics, quantum fluctuations of the vacuum, Unruh-DeWitt detector model