Postdoctoral Fellow-MSH-21015-025
About The Position
The Mount Sinai Health System (MSHS) is seeking a Postdoctoral Fellow to join the research project focused on neuromodulation therapies for neurological and psychiatric disorders. This role will involve characterizing multimodal network features associated with neuromodulation targets and established imaging biomarkers to select the best candidate, track brain remodeling, provide precise personal target location, and predict long-term clinical outcomes. The project utilizes advanced multimodal neuroimaging and machine learning approaches to understand the mechanisms of therapies like DBS, TMS, and LIFU.
Requirements
- Ph.D. degree in Neuroscience, Bio & Brain Science, Data Science, Computer Science, Computer Engineering
- Excellent coding skills (Python, Matlab, Shell script)
- Handle multimodal image data processing (i.e. FSL, AFNI, MRTRIX, FREESURFER)
- Structural and functional image data processing and analysis
- Strong knowledge of image statistical analysis
- Strong knowledge of machine learning approaches
- Strong communication skills
- Strong interest in neuromodulation research
- Strong experience in functional and structural MRI image processing
- Strong experience in machine learning-based image analysis
- Familiarity with image processing software
- Experience in multimodal integration
- Previous experience in image-based neuromodulation research
Responsibilities
- Multimodal image preprocessing to identify imaging biomarkers for various neuromodulation therapies
- Establish image-guided neuromodulation targeting
- Collaborate with a clinician to provide high-level research support for clinical decision-making
- Machine learning approaches to characterize biomarkers and predict targets, circuits, and outcomes
Benefits
- Salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
