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HHMI-NIBIB Interfaces Initiative
New Ph.D. programs developed through grants from the HHMI-NIBIB Interfaces initiative, a partnership of HHMI and the National Institute of Biomedical Imaging and Bioengineering (NIBIB), are training scientists to conduct interdisciplinary research at the interface between the biomedical, physical, and computational sciences. Researchers who emerge from these programs will have the background and skills to collaborate across disciplines and apply their knowledge to the questions facing biology today.
Listed below are the grantee institutions, brief descriptions of their Interfaces programs, and links where you can find more information. To apply, please contact the individual programs.
Brandeis University
Carnegie Mellon University and University of Pittsburgh (collaborating institutions)
The Johns Hopkins University
New Jersey Institute of Technology, Rutgers University-Newark, and University of Medicine and Dentistry of New Jersey-New Jersey Medical School (collaborating institutions)
University of California, Irvine
University of California, San Diego
University of California, San Francisco
The University of Chicago
University of New Mexico
University of Pennsylvania
Brandeis University
Quantitative Biology Graduate Program
www.brandeis.edu/programs/quantbio
Ph.D. students in Brandeis University's Quantitative Biology (QB) program are trained to apply quantitative experimental techniques, physical models, and mathematical analysis to important problems in biomedical research. QB students with life sciences backgrounds learn to use instrumentation and modeling, while those with a physical science background learn to apply their knowledge in life-science laboratories. The simultaneous cross-training of each group of students includes interdisciplinary graduate-level courses, as well as special lectures, events, and "boot camps" to foster the communication skills necessary for a team approach to science. Students graduate with Ph.D.s in their chosen fields and an additional specialization in quantitative biology.
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Carnegie Mellon University and University of Pittsburgh
CMU-Pitt Ph.D. Program in Computational Biology
www.compbio.cmu.edu
Carnegie Mellon University and the University of Pittsburgh have joined forces to establish an interdisciplinary program leading to a Ph.D. in computational biology. The goal of the program is to produce researchers well-versed in the basics of the life and computational sciences and prepared to apply the theories and methods of math, engineering, and computing to the challenging questions and problems facing biology today. The program features tracks in computational genomics, computational structural biology, systems modeling, bioimage informatics, and computational neurobiology. It incorporates a new laboratory course specially designed for computational biology students and new curricula in bioimage informatics and computational structural biology.
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The Johns Hopkins University
Nanotechnology for Biology and Medicine (NBMed)
www.inbt.jhu.edu
The Johns Hopkins University's Nanotechnology for Biology and Medicine (NBMed) program aims to produce researchers able to create new particles and materials to be used in the detection, treatment, prevention, and cure of human disease. NBMed students take three new core courses and an interdisciplinary lab course, participate in a new professional development seminar series, and present their research results at an annual NBMed symposium. A diverse group of students learn to reach across disciplines as they advance the field of medicine through the application of nanotechnology.
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New Jersey Institute of Technology, Rutgers University-Newark, and University of Medicine and Dentistry of New Jersey-New Jersey Medical School
Quantitative Neurosciences Doctoral Training Program
qns.njit.edu
A new Ph.D. program in quantitative neuroscience has been created by a partnership of the New Jersey Institute of Technology, the University of Medicine and Dentistry of New Jersey-New Jersey Medical School, and Rutgers University-Newark. The goal is to train research scientists who understand the language, knowledge, and culture of the biomedical, physical, quantitative, and computational sciences. Students in this program use an interactive curriculum of classroom and laboratory courses to study the behavior of neurons and the brain at the molecular, cellular, and systems levels. The curriculum incorporates principles of physiology, math, engineering, and physical and computer sciences. The researchers who emerge from our program will have the ability to identify new research questions for study and will understand how to develop novel and powerful integrated approaches to study these questions.
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University of California, Irvine
Mathematical, Computational, and Systems Biology
mcsb.bio.uci.edu/
The University of California, Irvine, has created a new Ph.D. program in mathematical, computational, and systems biology. Courses focus on the essentials of biology, mathematics, engineering, and computer science, as well as on critical thinking and collaboration skills. The program emphasizes in-depth classroom study, interdisciplinary research rotations, and individualized advising. The goal is to produce scientists with sufficient depth to be leaders in their specialized areas, but also have the breadth of knowledge and skills to enable them to know when, how, and with whom to collaborate.
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University of California, San Diego
Interfaces Training Program: Multiscale Analysis of Biological Structure and Function
interfaces.ucsd.edu/
The Interfaces Graduate Training Program at the University of California, San Diego, focuses on multiscale analysis of biological structure and function, from molecule to organism in health and disease. The program is a collaboration across nine graduate degree programs and thirteen departments at UCSD. It offers students state-of-the-art interdisciplinary training through laboratory courses that offer students hands-on experience of high-technology tools, such as mass spectrometry, electron microscopy and MRI, for analyzing and manipulating living systems from the molecular to whole organism scales. Students gain practical experience in research methods and technologies that they can use to address some of the most pressing problems in life science and disease research.
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University of California, San Francisco
Integrative Program in Complex Biological Systems
www.pqb.ucsf.edu
The Integrative Program in Complex Biological Systems (IpCBS), developed by the University of California, San Francisco, features a curriculum focused on the observation and computer modeling of molecular and cellular behavior. The goal is to produce scientists who speak the language of mathematics, physics, and engineering, and biology. Students receive degrees from existing Ph.D. programs in biophysics, biological and medical informatics, and bioengineering at UCSF, with an ipCBS emphasis.
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The University of Chicago
Graduate Program in Biophysical Sciences
biophysics.uchicago.edu
The University of Chicago's interdisciplinary Ph.D. program in biophysical dynamics and self-organization aims to prepare graduate students to tackle questions at the interface between the life sciences and the physical sciences. The program includes faculty from the university as well as Argonne National Laboratory. An interdisciplinary curriculum includes a year-long laboratory course to help students learn to apply the latest laboratory and computer technology to the study of biological systems. Students explore the chemistry and physics of biology from the smallest measurable structures and times up to cells and hoursÑcovering the space between quantum or statistical mechanics, macromolecular structure and the resolution of light, and the form and function of the basic biological unit.
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University of New Mexico
Program for Interdisciplinary and Biomedical Science
pibbs.unm.edu/
The University of New Mexico's Program for Interdisciplinary and Biomedical Science (PIBS) centralizes the training of doctoral students who are already engaged in a team approach to research. The program's students work in small teams, collaborating with faculty from different departments within the University of New Mexico, the Santa Fe Institute, Los Alamos National Laboratories, and research centers in Latin America. PIBS features a curriculum that teaches students to apply the tools of mathematics, physics, and computer science to the study of complex systems. The program gives graduate students the background, tools, and experience they need to collaborate in a variety of interdisciplinary research projects throughout their careers.
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University of Pennsylvania
Program in Biomedical Imaging and Informational Sciences
www.uphs.upenn.edu/ime/phdprogram/home.html
The new program in Biomedical Imaging and Informational Sciences at the University of Pennsylvania provides Ph.D. students with concurrent training in the foundations of biomedical and imaging science and demonstrates how these combine in the field of radiology. The curriculum includes a focus on professional developmentÑfor example, how to conduct patient-oriented research. In this way, the program aims to produce scientists who have a clear understanding of the medical basis of disease and the technological know-how to develop new imaging methods of detection, diagnosis, monitoring, and prognosis that can guide the treatment of patients.
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