Join the HJF Team!
HJF is seeking a Postdoctoral Fellow to support the Department of Radiology located at the National Institute of Health in Bethesda, MD. HJF provides scientific, technical, and programmatic support services to the Department of Radiology.
Responsible for developing machine learning methods for medical image analysis, particularly for the harmonization, segmentation, and enhancement of magnetic resonance brain images.
NOTE: As a U.S. Government contractor, all HJF employees are required to be fully vaccinated against COVID-19 by December 8, 2021. Proof of vaccination or an approved religious or medical accommodation will be required.
Responsibilities: Assists in designing, developing, executing, and implementing scientific research and/or development.Investigates the feasibility of applying a wide variety of scientific principles and theories to potential inventions and products.Performs specialized laboratory research utilizing experimental protocols which involves specialized procedures.Collects and handles samples and keeps detailed records of experiments.Assists with the preparation of data for presentations at scientific meetings and for publication in journals.May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role.
Required Knowledge, Skills and Abilities: Experience working with deep learning algorithms and convolutional neural networks is highly desirable.
Minimum Education: Doctoral degree in computer science, electrical engineering, biomedical engineering, or related field required.
Minimum Experience/ Training Requirements: Minimum 0-5 years of experience required.
Required Licenses, Certification or Registration: Programming experience with Python, C/C++, and/or Java is required.
Work Arrangement: 100% on-site.
Background/Security: Eligibility to obtain and maintain a Tier I investigation/Public Trust.
Employment with HJF is contingent upon successful completion of a background check, which may include, but is not limited to, contacting your professional references, verification of previous employment, addresses, education, and credentials, a criminal background check, drug screening, and a department of motor vehicle (DMV) check.
Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer.