The Medical-image Analysis and Statistical Interpretation (MASI) Lab, led by Dr. Bennett Landman, is seeking passionate and innovative Postdoctoral Fellows to join our team. The ideal candidates will have a strong background in AI, Python, and imaging data analysis, with a preference for those experienced in medical imaging. Our lab focuses on the development and application of advanced imaging techniques, machine learning models, and clinical studies aimed at understanding and interpreting medical imaging data for various health applications.
Department | Electrical and Computer Engineering |
Full Description | The MASI Lab at Vanderbilt University is at the forefront of medical imaging research, specializing in MRI, CT, and diffusion imaging analysis. We are looking for Postdoctoral Fellows who are eager to contribute to our ongoing projects on imaging techniques, machine learning, and deep learning applications in medical imaging, diffusion MRI tractography, and disease characterization. Candidates should demonstrate a strong foundation in AI and programming (preferably in Python), an understanding of imaging data, and an enthusiasm for tackling complex problems in medical imaging. |
Application Details | Interested candidates should email bennett.landman@vanderbilt.edu with the subject line "Vanderbilt OPA Postdoctoral Fellow Application". Please include: |
Contact | Bennett Landman bennett.landman@vanderbilt.edu (615) 322-2338 |
Posted | 2024-04-10 15:04:51 |