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From: Ron Dror <rondror@stanford.edu> Subject: Postdoc opening at Stanford Date: June 10, 2016 at 1:17:03 AM PDT To: "Lennart.Nilsson@ki.se" <Lennart.Nilsson@ki.se>, "bojan.zagrovic@univie.ac.at" <bojan.zagrovic@univie.ac.at>, "hgrubmu@gwdg.de" <hgrubmu@gwdg.de>, "c.de.graaf@vu.nl" <c.de.graaf@vu.nl>, "gerhard.hummer@biophys.mpg.de" <gerhard.hummer@biophys.mpg.de>, "schlick@nyu.edu" <schlick@nyu.edu>, "p.carloni@grs-sim.de" <p.carloni@grs-sim.de>, "ursula.roethlisberger@epfl.ch" <ursula.roethlisberger@epfl.ch>, "Michael.Grabe@ucsf.edu" <Michael.Grabe@ucsf.edu>, "sali@salilab.org" <sali@salilab.org>, "peter@kolblab.org" <peter@kolblab.org>, Koby Levy <Koby.Levy@weizmann.ac.il> Cc: Ron Dror <ron.dror@stanford.edu>
Dear colleagues,
I have an opening for a postdoc to lead one or more projects in my group at Stanford. If you can recommend a promising candidate, please let me know. I’d welcome applications from outstanding researchers with backgrounds in molecular simulation (either methods development or biological applications), molecular modeling, protein design, or related areas. A description of the position is below.
Best, Ron
Applications are invited for postdoctoral research positions in Prof. Ron Dror’s lab at Stanford University. Successful applicants will use a variety of computational techniques to address key scientific questions in biochemistry and to enable advances in drug discovery, particularly for G-protein-coupled receptors (GPCRs), which represent the largest class of drug targets. This work will be carried out in close collaboration with world-class experimentalists.
Candidates must have an outstanding record of research and academic performance, strong communication skills, and an ability to work independently and collaborate effectively. Experience with molecular dynamics simulation, enhanced sampling methods, programming, protein design, or molecular modeling of membrane proteins is desirable, but candidates are not expected to have experience in all of these areas.
Dr. Dror’s lab focuses on computational approaches to studying the spatial organization and dynamics of biomolecules and cells. Our work spans fields ranging from biophysics and computational chemistry to high-performance computing, image processing, and machine learning. We have access to substantial computational and experimental facilities and are based in an interdisciplinary biosciences building immediately adjacent to Stanford’s medical, science, and engineering schools.
Stanford, one of the world’s top universities, is located on a beautiful campus in the San Francisco Bay Area. Stanford has long been a magnet for talent in computing and the biosciences, and is considered the birthplace and spiritual center of Silicon Valley, an unparalleled center of technological and scientific innovation.
Stanford University is an equal opportunity employer.
To apply, please send the following to drorlabopenings@gmail.com <mailto:drorlabopenings@gmail.com>: a CV, a cover letter explaining your interest in the position, contact information for three referees, and a document you wrote that has not been edited by anyone else (for example, a report, an early draft of a manuscript, or an email to a colleague about a scientific topic).
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Ron Dror Associate Professor of Computer Science and, by courtesy, Molecular and Cellular Physiology and Structural Biology Stanford University http://drorlab.stanford.edu/ <http://drorlab.stanford.edu/>