Disimpy is a GPU-accelerated diffusion-weighted magnetic resonance simulator that is useful in the development and validation of neuroimaging methods. Disimpy is written in Python, making the source code very approachable to researchers with little or no prior experience in GPU-computing.
Project: Adding new features such as new substrates (e.g., analytical geometries or triangular meshes) or new dynamics (e.g., permeability or flow). Skill level: Novice to advanced.
Required skills: Python, NumPy.
Nice-to-have skills: 3D modelling for advanced projects.
Time commitment: half-time or full-time.
Lead mentor: Leevi Kerkelä @kerkelae
Backup mentors: Rafael Neto Henriques, Marco Palombo
Project website: https://disimpy.readthedocs.io/
Tech keywords: Python, NumPy, Numba, CUDA, 3D modelling
