Degree(s) in biomedical engineering, electrical engineering, computer science, medical imaging, applied
mathematics or a related discipline.
- 1-2 years of experience in medical imaging analysis.
- Technical understanding of imaging DICOM standard and conversion to other image file formats (nifti,
NRRD, etc.)
- Familiarity with image database software such as XNAT, PACS.
- Experience with statistical software such as R or similar.
-Well-developed neuroimaging skills: brain segmentation, diffusion tensor and fiber tractography.
-Knowledge of Implantable electrode DBS and pre-operative planning.
- Fluency in MATLAB and Python.
- Experience with medical image (MRI, DWI, CT) processing using open-source programs such as Seg3d,
Slicer, ANTS, or similar.
- Experience DSI Studio, MRtrix, or similar.
- Experience with finite element modeling programs such as SCIRun, COMSOL, or similar.
- Simulation, modeling, and visualization using SCIRun, COMSOL, or similar.
- Source code management in public and private repositories.
- Experience with image registration, finite element modeling, and simulation of electric field potentials.
- Scientific Writing and Communication.
|