Postdoctoral Researcher
Core
Lead a translational neuroimaging project to develop MRI-based machine learning models for early diagnosis and disease progression modelling in Parkinson's disease.
Role type
Postdoctoral Researcher (Neuroimaging & Machine Learning)
Builds
Clinician-facing decision-support tools and probabilistic diagnostic pipelines for Parkinson's disease
Domain
Healthcare / Neuroimaging / Machine Learning
Deliverable
production ML models
Required skills
Machine learning, Statistical modelling, Neuroimaging analysis (MRI), Python/R/MATLAB, Pipeline development, Model deployment, ANTs/FSL/FreeSurfer/SPM
Preferred skills
Voxel-based or morphometry-based analyses, End-to-end tool development, Clinical software integration
Technologies
Python, R, MATLAB, ANTs, FSL, FreeSurfer, SPM
Responsibilities
Develop ML models for imaging-based diagnostic probability estimation, Optimize pipelines for patient-specific predictions from MRI data, Design clinician-facing tools for model deployment, Analyze large-scale multimodal neuroimaging datasets, Perform statistical modelling and validation of predictive models, Collaborate with clinical partners on tool usability and relevance, Mentor graduate and undergraduate trainees
Seniority
Postdoctoral Fellow (Research Lead)
