The labs of Jeff Gelles and Douglas Theobald at Brandeis University
(Boston, Massachusetts Metro area) have postdoctoral positions available
as part of a new interdisciplinary research project just funded (in
August 2018) by the U.S. National Institutes of Health.
The project is to develop, characterize, and implement new computational
methods using Bayesian image classification, Markov chain Monte Carlo,
and other statistics-based methods, to deduce kinetic mechanisms of
biochemical processes from multi-wavelength single-molecule fluorescence
microscopy images.
The positions require a strong background in computation, with a Ph.D.
in Biophysics, Physics, Statistics, Computer Science, Biomedical
Engineering, or a related field. Recent (or soon-to-be) graduates are
encouraged to apply. Previous experience in biophysics or biochemistry
would be helpful but is not required; the positions can be structured to
provide training (including relevant experimental work) to individuals
interested in gaining experience in those areas.
To apply, please send your curriculum vitae (including a list of your
publications) and a cover letter that includes: 1) the names of three
mentors familiar with your scientific abilities who can provide letters
of recommendation, 2) a description of your prior experience with
projects in scientific computation, and 3) a statement of your
scientific interests and future career plans.
Jeff Gelles (gelles@brandeis.edu)
Douglas Theobald (dtheobald@brandeis.edu)