A postdoctoral position is available to study mechanics of the nuclear envelope via data-driven computational modeling and deep learning. We are seeking a highly motivated postdoctoral fellow to join the group of Dr. Khaled Khairy in the Department of Developmental Neurobiology. We combine continuum mechanics computational models of membrane-bound biological structures with state-of-the-art quantitative image analysis to gain insights into the basis for cell and organelle morphology, and to better understand mechanisms of shape change in normal and pathological cases. We are particularly interested in the analysis of nuclear envelope mechanics and morphology from high resolution election microscopy imagery.
In addition to a Ph.D. in Biophysics, Physics, Mathematics, Computer Science or related field, the successful candidate has experience with numerical methods, mathematical modeling, image processing and basic programming techniques. Training in shape representation, membrane mechanics, phase-field methods, Fourier methods and numerical optimization is preferred but not required.
If interested, email CV and contact information for three reference providers to firstname.lastname@example.org. Please reference this advertisement in your message.