Exploring New Horizons in Data Processing. The Computational Crystallography group at Lawrence Berkeley National Lab ( http://cci.lbl.gov) would like to recruit an outstanding postdoctoral scientist with a strong interest in the computational challenges at the forefront of structural biology. With synchrotron beamlines increasingly controlled automatically and remotely, and with CCDs being replaced by pixel-array detectors, software development is critical to future experimental success. Better algorithms are needed to realistically model the diffraction observed on the new detectors, and the blinding data acquisition speed will require a new focus on efficiency. Difficult challenges also remain for deriving structural information from free-electron laser experiments. Two years after first light at the LCLS, new research on data analysis has become increasingly vital. This position offers the opportunity to collaborate with Bay Area beamline developers at both the ALS and SSRL, and access to unprecedented data sets from LCLS nanocrystallography studies. Local resources include numerous groups developing crystallography methods, as well as expertise in computational hardware including graphics processing units. Software will be developed within an open-source paradigm, and is expected to have a worldwide influence on high-throughput structural biology. Candidates should have a recent Ph.D. in computational biology or a related field, as well as strong experience in instrumentation, software, or data analysis. Applications consisting of a statement of research interests, CV, list of publications, and three references should be submitted on the Web at https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=73565 -- Nicholas K. Sauter, Ph. D. Computer Staff Scientist/Engineer Physical BioSciences Division Lawrence Berkeley National Laboratory 1 Cyclotron Rd., Bldg. 64R0121 Berkeley, CA 94720-8118 (510) 486-5713