Postdoc: Multimodal Neuroimaging for Brain Tumors & HD

University of California, Los Angeles; Los Angeles (CA); In loco; USD 60.000 - 75.000; Tempo pieno

Descrizione del lavoro

UCLA's Brain Tumor Imaging Lab seeks a motivated Postdoctoral Scholar to advance multimodal MRI neuroimaging for Huntington’s disease and brain tumor projects. Work with Dr.

Jingwen Yao in a cross-disciplinary team on NIH-funded studies and contribute to marker development and translation to clinical practice. You will engage in multi-center data collection, develop spatiotemporal models, and publish findings while collaborating across radiology, neurology, and engineering.

Competenze

• PhD required in a relevant field (neuroscience, neuroradiology, biomedical engineering).
• Strong publication record and expertise in MRI-based neuroimaging.
• Experience with multimodal MRI data and data-driven analysis is essential.

Mansioni

• Lead independent research projects and support collaborative studies.
• Design, implement, and test MRI sequences, reconstruction methods, or post-processing techniques for research and clinical translation.
• Develop and validate disease progression models using large multimodal datasets.
• Author scientific publications and contribute to grant proposals.
• Supervise trainees and maintain research infrastructure.
• Ensure compliance with UCLA lab safety and human subject research guidelines.

Conoscenze

Neuroimaging

MRI analysis

Python

MATLAB

Statistics

Formazione

PhD in Neuroscience/Neuroradiology/Biomedical Engineering

Strumenti

Python

MATLAB

FSL

FreeSurfer

Descrizione del lavoro

UCLA's Brain Tumor Imaging Lab seeks a motivated Postdoctoral Scholar to advance multimodal MRI neuroimaging for Huntington’s disease and brain tumor projects. Work with Dr.

Jingwen Yao in a cross-disciplinary team on NIH-funded studies and contribute to marker development and translation to clinical practice. You will engage in multi-center data collection, develop spatiotemporal models, and publish findings while collaborating across radiology, neurology, and engineering.