The Laboratory of Cellular Imaging and Macromolecular Biophysics (LCIMB, lab chief: Richard Leapman, PhD), National Institute of Biomedical Imaging and Bioengineering (NIBIB), at the National Institutes of Health (NIH) in Bethesda, MD is seeking two postbacs to join a research program for biomedical computer vision research for electron microscopy.
Successful candidates will work alongside a team of LCIMB machine learning researchers to develop new computer vision techniques applicable to large-scale 3D structural modeling of cells and organelles. Depending on interests and background, postbacs may assist in creating training data, developing software to enable microscopists to apply new research tools to their biological imaging problems, and conducting computer vision research of their own within the scope of our lab’s projects.
The postbaccalaureate program is open to recent college graduates who wish to spend 1-2 years doing research before continuing to graduate school. This program is open only to USA citizens or permanent residents. Please see the Eligibility heading at https://www.training.nih.gov/programs/postbac_irta for full eligibility criteria.
The ideal candidate will have a BA/BS in computer science, applied math, or a similar area, and will have prior experience in image processing, computer vision, and/or machine learning. Postbacs will be working on Linux workstations with Python and common scientific computing and deep learning libraries, so experience with these tools is preferred. Candidates should be able to effectively communicate their work to a multi-disciplinary research team of biologists, microscopists, and data scientists.
To apply, pplicants should complete the online postbac application at https://www2.training.nih.gov/apps/publicforms/pbt/forms/log.... Applicants should also contact Dr. Richard Leapman at leapmanr@mail.nih.gov to indicate their interest in joining our lab. Anyone with questions can message me at matthew.guay@nih.gov.
National Institutes of Health | Postbaccalaureate Trainees | Bethesda, MD | Onsite | Full-time
General information: https://www.training.nih.gov/programs/postbac_irta
The Laboratory of Cellular Imaging and Macromolecular Biophysics (LCIMB, lab chief: Richard Leapman, PhD), National Institute of Biomedical Imaging and Bioengineering (NIBIB), at the National Institutes of Health (NIH) in Bethesda, MD is seeking two postbacs to join a research program for biomedical computer vision research for electron microscopy.
Successful candidates will work alongside a team of LCIMB machine learning researchers to develop new computer vision techniques applicable to large-scale 3D structural modeling of cells and organelles. Depending on interests and background, postbacs may assist in creating training data, developing software to enable microscopists to apply new research tools to their biological imaging problems, and conducting computer vision research of their own within the scope of our lab’s projects.
The postbaccalaureate program is open to recent college graduates who wish to spend 1-2 years doing research before continuing to graduate school. This program is open only to USA citizens or permanent residents. Please see the Eligibility heading at https://www.training.nih.gov/programs/postbac_irta for full eligibility criteria.
The ideal candidate will have a BA/BS in computer science, applied math, or a similar area, and will have prior experience in image processing, computer vision, and/or machine learning. Postbacs will be working on Linux workstations with Python and common scientific computing and deep learning libraries, so experience with these tools is preferred. Candidates should be able to effectively communicate their work to a multi-disciplinary research team of biologists, microscopists, and data scientists.
To apply, pplicants should complete the online postbac application at https://www2.training.nih.gov/apps/publicforms/pbt/forms/log.... Applicants should also contact Dr. Richard Leapman at leapmanr@mail.nih.gov to indicate their interest in joining our lab. Anyone with questions can message me at matthew.guay@nih.gov.