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