Machine Learning, Image Processing, Deep Learning
The successful candidate will drive the development and implementation of automated image and data processing workflows to analyze large image datasets generated by high-throughput confocal microscopes. These projects will involve researching innovative approaches for segmenting (sub) cellular structures from multi-dimensional optical images using state-of-the art techniques (deep learning algorithms and graph-cuts), multi-modal image registration, feature extraction and unsupervised classification of phenotypic high-content/high-throughput imaging-based screens, and spatio-temporal analysis of single-cell level data. The postdoctoral fellow will work in a fast-paced research environment, will collaborate on a daily basis with cell and molecular biologists, and is expected to be self-motivated and demonstrate independent thinking. Salary will be commensurate with education and experience.
The successful candidate will hold a Ph.D. degree in either Image Processing, Computer Vision, Biomedical Engineering, or Quantitative Biophotonics, and have no more than two years of post-doctoral experience. Highly qualified candidates will have a background and experience in high-throughput image processing, machine learning and deep learning. While previous knowledge of molecular and cell biology is not a strict requirement, an interest in learning about these disciplines and in solving a variety of biological problems is essential.
The CCR HiTIF is a shared resource for CCR and NIH Investigators. We work with them in a collaborative fashion to design and execute novel high-throughput, fluorescence microscopy-based imaging assays, which are used to identify and dissect the molecular mechanisms underlying a variety of physiological and pathological cellular processes. More importantly, we have a demonstrated successful record in developing cutting edge computational workflows on high-performance CPU and GPU batch clusters to study a variety of biological pathways involved in genome architecture, chromatin regulation, the DNA Damage Response, cancer and aging, among others. For more information: https://ccr.cancer.gov/Laboratory-of-Receptor-Biology-and-Gene-Expression/gianluca-pegoraro. The Center for Cancer Research (CCR) is the intramural research component of the National Cancer Institute (NCI). CCR’s enabling infrastructure facilitates clinical studies at the NIH Clinical Center, the world’s largest dedicated clinical research complex, and provides extensive opportunities for collaboration; and allows scientists and clinicians to undertake high-risk, high-impact laboratory- and clinic-based investigations. For an overview of CCR, please visit http://ccr.cancer.gov/.
The search will remain open until a qualified applicant is found. Consideration of applicants will begin on or around 1/2/2019. Interested individuals should send a curriculum vitae and bibliography, a brief summary of research interests and accomplishments, and the names and addresses of three references to the HiTIF Director, Gianluca Pegoraro.
HHS, NIH, and NCI are Equal Opportunity Employers