Job Responsibilities:
Responsible for the design of post-processing algorithms for magnetic resonance images, including but not limited to denoising and Gibbs artifact removal algorithm development;
Cooperate with clinical engineers to debug and optimize the parameters involved in the algorithm;
Understand the latest research needs and continuously optimize post-processing algorithms in terms of operational efficiency, special sequences, and special scenarios. Job Requirements:
Master's degree or above, major in mathematics, biomedical engineering or related fields;
Proficient in using programming languages such as C and Python to implement algorithms; Proficient in using Git tools for collaborative development among multiple people;
Having good programming habits and the ability to reproduce papers;
More than 3 years of relevant work experience; Developers familiar with Qt, VTK, and ITK libraries are preferred; Experience in developing traditional image processing and reconstruction algorithms for magnetic resonance imaging is preferred.