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Research Center
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Contact Information
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| The primary objective of the MBIC is the development of advanced microscopy and imaging techniques, and fluorescent, photochemical, and biology probes for use primarily in biomedical applications and space exploration. A recently named National Technology Center for Networks and Pathways, the MBIC offers exciting opportunities for students interested in technology development. |
Alan Waggoner, Director waggoner@andrew.cmu.edu
412-268-3461 |
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| The NMR Center, sponsored jointly by Carnegie Mellon and the University of Pittsburgh, advances state-of-the-art MRI and MRS processes for better understanding of tissue and organ function. |
Chien Ho, Director chienho@andrew.cmu.edu
412-268-3395 |
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| This Center focuses on models of cognitive function, brain imaging and molecular genetics of the nervous system. Carnegie Mellon faculty and graduate students from the Departments of Biological Sciences, Psychology, and Computer Science work jointly with researchers from the University of Pittsburgh. The goal of the CNBC interdisciplinary graduate program is to train neuroscientists who can combine diverse approaches to better understand higher cognitive function in the brain. |
Carl Olson, Co-Director colson@cnbc.cmu.edu
412-268-3968 |
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| The CMA features modern high-performance analytical instruments for use by the Department of Chemistry, the Department of Biological Sciences, and other departments and centers at Carnegie Mellon. Other research groups outside of the CMU campus may also use the CMA. In addition to the analytical instrumentation, the CMA provides collaborations, analytical assistance, and training. The CMA houses two NMRs, four photon spectrometers, and two mass spectrometers. |
Mark E. Bier, Director mbier@andrew.cmu.edu
412-268-3540 |
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| The Pittsburgh Supercomputing Center is a joint effort of Carnegie Mellon, the University of Pittsburgh and the Westinghouse Electric Company. This Center provides cutting-edge computational resources to the national community and advances computational science and computational techniques. |
David Moses, Executive Director
dmoses@psc.edu
412-268-4960 |
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| The BTEC is a collaborative program among the Carnegie Mellon School of Engineering, the Mellon College of Science and the Robotics Institute, as well as the University of Pittsburgh Medical Center, the University of Pittsburgh, Children's Hospital of Pittsburgh and Duquesne University. The Center aims to understand bone formation and wound healing, with an emphasis on developing technologies for clinical use. |
Jeffrey Hollinger, Director hollinge@andrew.cmu.edu |
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| The Machine Learning Department is a cross-disciplinary center that includes the Departments of Statistics, Computer Science, Robotics, Biological Sciences, Philosophy and Psychology, as well as the Language Technology Institute, the Tepper School of Business, and the Center for the Neural Basis of Cognition. Research combines statistics with data mining and machine learning. |
Tom Mitchell, Director
Tom.Mitchell@cmu.edu
412-268-2611 |
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| The center's research program seeks to expand the understanding of complex biological systems using machine learning methods. One of the center's missions will be advancing the development of computational methods to improve cancer detection, diagnosis and treatment, especially by developing tools to enable automated creation of detailed, predictive models of a system's behavior. |
Robert F. Murphy, Director
murphy@cmu.edu
412-268-3480 |
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| The Center for Nucleic Acids Science and Technology (CNAST) is a community of Carnegie Mellon scientists and engineers unified by interests in the chemistry, biology and physics of DNA, RNA and PNA (peptide nucleic acid). CNAST has three pillars of strength: (1) RNA Biology, (2) Molecular and Experimental Tools and (3) Biotech/Nanotech. We invite you to explore this site to learn more about the cutting-edge research underway in CNAST. |
John Woolford, Co-Director jw17@andrew.cmu.edu
Bruce Armitage, Co-Director army@andrew.cmu.edu
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| The Center for Bioimage Informatics (CBI) brings together faculty from engineering, biology and computer science to: Identify important biological and medical problems in which images are the primary data source; frame a solution to the problem using engineering and computer science principles; collect or obtain relevant images; identify criteria for evaluating success; implement the solution; evaluate and disseminate the results. |
Jelena Kovacevic, Director
jelenak@cmu.edu
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