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Computer Vision for Biomedical Electron Microscopy

National Institute of Biomedical Imaging and Bioengineering, Bethesda, MD and surrounding area

Position Description:

Seeking a postdoctoral fellow to join a new research program for biomedical computer vision research for electron microscopy in the Laboratory of Cellular Imaging and Macromolecular Biophysics at the National Institute of Biomedical Imaging and Bioengineering (NIBIB), at the National Institutes of Health (NIH) in Bethesda, MD.  The successful candidate will work alongside LCIMB staff scientists to conduct research on new computer vision techniques applicable to large-scale 3D structural modeling of cells and organelles, with a focus on areas including but not limited to: volumetric segmentation, robust multi-dataset segmentation, and self-supervised pre-training for computer vision neural networks.  Our lab works on a variety of datasets with collaborators, but there is a pressing need for assistance in developing methods for large-scale structural modeling of thrombi in platelet samples taken from COVID-19 patients. LCIMB postdocs also help supervise graduate students, postbacs, and interns working on computational projects, and guide team members who integrate new research developments into software tools that microscopists can use for biological research applications.

Qualifications:

The ideal candidate will have a PhD in computer science, applied math, or a similar area, with a focus on image processing, computer vision, and/or machine learning for imaging applications. Candidates should be comfortable working in a Linux environment, with basic Bash scripting experience. Candidates should also be familiar with Python and common scientific computing and deep learning libraries. Experience with high performance computing is preferred. Exposure to biology is preferred but not necessary. Candidates should be able to effectively communicate their research activities to a multi-disciplinary research team of biologists, microscopists, and data scientists. 

To Apply:

Applicants are invited to submit a CV including publication list, a one-page summary of research interests, and names and contact information of three references to Dr. Richard Leapman by email at leapmanr@mail.nih.gov.

 

This post will be available until November 26, 2020 or until filled.

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