Human Imaging Postdoctoral Scholar: The Neuromuscular and Neurogenetics Clinical Research Laboratory directed by Dr. John Day at Stanford University’s School of Medicine is seeking a distinguished postdoctoral fellow with experience in the performance and analysis of MRI imaging methods applicable to brain and muscle investigations. The postdoc will work alongside experts in radiology, neurology, rehabilitation, clinical trials, bioinformatics specialists, and engineers to develop novel outcome measures and biomarkers of CNS and muscle involvement in Mendelian neuromuscular disorders.
Designation: Human Imaging Postdoctoral Scholar
Research Area: Neuromuscular and Neurogenetics Clinical Research
Location: Stanford University, School of Medicine, California, USA
Eligibility/Qualification:
- PhD in Neuroscience, Biomedical Engineering, Magnetic Resonance Imaging or a related field
- Interest and experience in human MRI investigations
- Demonstrated ability to analyze data in MatLab, Python or related methods
- Experience with analytical, computational, and quantitative methods analyzing large noisy datasets
- Ability to work well in a diverse team
- Effective oral and written communication skills, with proficiency writing manuscripts and other data science methods
- Excellent organization skills and demonstrated ability to complete detailed work accurately
- Excellent problem-solving strength and able to take initiative and work independently
| Qualification | Description |
|---|---|
| PhD | Neuroscience, Biomedical Engineering, Magnetic Resonance Imaging, or related field |
| Experience | In human MRI investigations |
| Skills | Data analysis in MatLab, Python or related methods, analytical, computational, and quantitative methods analyzing large noisy datasets |
| Ability | To work well in a diverse team |
| Communication | Effective oral and written communication skills, with proficiency writing manuscripts and other data science methods |
| Organization | Excellent organization skills and demonstrated ability to complete detailed work accurately |
| Problem Solving | Excellent problem-solving strength and able to take initiative and work independently |
Preferred Qualifications:
- Experience with DTI and tractography analyses
- Experience with resting state fMRI and analyses
- Experience with machine-learning analysis of large datasets
- Experience with Deep Learning models and frameworks (Pytorch or TensorFlow)
Job Description: The postdoc fellow will primarily focus on the development of MRI acquisition/reconstruction methods using 3T, 7T, and PET/MRI devices, in addition to image processing/machine learning, and clinical applications. The fellow will work on improving image quality and accuracy throughout the human body using advanced MRI techniques such as diffusion, spectroscopic, susceptibility, and functional imaging. Other responsibilities include working on applications of these techniques to various clinical applications in muscle, analyzing data in MatLab, Python, or related methods, and working collaboratively with a diverse team.
How to Apply: To apply, please submit the following materials:
- CV
- Cover letter describing interest and relevant experience for the project
- Three references from graduate school or subsequent positions
Application materials should be sent to Dr. John Day at jday@stanford.edu
Last Date for Apply: Rolling applications will be reviewed until the position is filled.
Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.
