Postdoctoral Fellow: Multimodal Neuroimaging & AI

University of Maryland, Baltimore; Baltimore (MD); On-site; USD 55,000 - 75,000; Full time

Job summary

University of Maryland, Baltimore seeks a Post Doctoral Fellow to develop new statistical methods for multimodal neuroimaging, multi-omics, and EHR/genetics data. You will apply machine learning and AI to uncover interactive relationships across aging and development, implement algorithms on HPC clusters, and contribute to real-world evidence models.

Responsibilities include manuscript drafting and data integration across large datasets (UKBB, HCP, ENIGMA, UMMS EHR).

Qualifications

• Doctorate or terminal degree in the field with demonstrated research abilities.
• Unrestricted license may be required in Maryland.

Responsibilities

• Post Doctoral Fellow: perform independent research, develop methods, and contribute to manuscripts.

Skills

Statistical modeling

Machine learning

Causal inference

High-performance computing

Education

PhD in relevant field

Tools

Python

R

TensorFlow

Job description

University of Maryland, Baltimore seeks a Post Doctoral Fellow to develop new statistical methods for multimodal neuroimaging, multi-omics, and EHR/genetics data. You will apply machine learning and AI to uncover interactive relationships across aging and development, implement algorithms on HPC clusters, and contribute to real-world evidence models.

Responsibilities include manuscript drafting and data integration across large datasets (UKBB, HCP, ENIGMA, UMMS EHR).