|Title: Postdoctoral fellow/bioimaging and machine learning||Posted: February 25, 2014|
|Company/Institution: Lawrence Berkeley National Laboratory|
|Location: Berkeley, Ca|
Description: Imaging and Bioinformatics Lab, at Lawrence Berkeley National Laboratory, has an immediate opening for a PostDoctoral fellow in the area of computational biology, high content screening, and computational histopathology. Initial tasks will be porting existing matlab code to C++ followed by segmentation of histology sections at multiple end points. These ends points will be associated with the corresponding molecular profiles, such as gene expression and methylation data, for discovery of potential biomarkers. Applicants are required to have a strong background in low level vision and machine learning, skills in developing high performance systems, and the ability to work in a large scale program project.
Requirements: Ph.D. in Engineering or related imaging and computer vision, proven track record of high performance software development, publications in high end conferences and journals, knowledge of matlab and R, and deep understanding of C++ programming.
Please contact B_Parvin@lbl.gov
Application Instructions: To develop state of art techniques for quantitative analyses of multicellular systems, which are imaged through optical microscopy. Our programs aim to elucidate indices that are predictive of the outcome from a large scale cohort of tumor sections. There is a clear opportunity to work with pathologists and other developers for method development and validation, and having an impact on disease treatment. For more information, see http://vision.lbl.gov