Molecular and Cellular Biophysics
The University of Denver's PhD program in molecular and cellular biophysics provides students a core foundation in biophysical theory and practice, along with flexibility and individualized attention. Participation of faculty from the departments of biological sciences, chemistry and biochemistry, and physics and astronomy enhances the strength and breadth of our program by incorporating cross-disciplinary and collaborative approaches to research. Areas of research include super resolution microscopy, developmental dynamics, protein folding, protein network analysis, signal transduction cascades, single molecule biophysics, cellular physiology and the development of novel imaging techniques.
Students with strong quantitative undergraduate backgrounds in fields such as physics, chemistry and mathematics who desire to apply these skills to biological problems are encouraged to apply, as are those with backgrounds in cell or molecular biology and solid foundations in mathematics and physics. We particularly encourage projects in the traditional disciplines of physics, biology and chemistry, as well as those using methods of mathematical analysis and computer modeling.
DU's molecular and cellular biophysics PhD program provides opportunities for doctoral studies at the interface of biology, chemistry and physics. Faculty participation across all three corresponding departments enhances the strength and breadth of scholarship by incorporating cross-disciplinary and collaborative approaches to research.
Fall 2023 Final Deadline
Bringing Experts to the Bench
Biophysics faculty research lies in the following areas of expertise:
- super-resolution microscopy
- developmental dynamics
- protein folding
- protein network analysis
- signal transduction cascades
- single-molecule biophysics
- cellular physiology
- development of novel imaging techniques
In addition to working at the crossroads of physics, biology and chemistry, we particularly seek to explore methods of mathematical analysis and computer modeling.