Image algorithm intern
-
Job responsibilities
-
-
Engage in frontline medical research projects and conduct research by integrating computer vision, deep learning, medical image processing, and other cutting-edge technologies.
-
Assist in designing experimental schemes, collecting and processing experimental data, and conducting experimental verification.
-
Write code and implement algorithms for medical-related application technical solutions.
-
Contribute to paper writing and submission, including analyzing and interpreting experimental results as well as describing technical methods.
-
Actively participate in team discussions and collaborate with team members to collectively advance the progress and outcomes of the project.
-
Job Requirements
-
-
Possess a master's or PhD degree in computer/biomedical engineering.
-
Demonstrate proficiency in at least one deep learning open source framework, such as PyTorch or TensorFlow.
-
Exhibit strong hands-on ability and proficiency in Python, C/C++, or another programming language.
-
Possess solid foundational skills in machine learning algorithms and statistics, capable of proposing solutions to practical problems and quickly validating them.
-
Have relevant experience applying deep learning techniques in the medical field, displaying curiosity and passion for new technologies while staying updated on advancements within the medical domain.
-
Preference will be given to candidates who have published papers in internationally recognized medical journals (e.g., TMI/MedIA) or top conferences (e.g., MICCAI/IPMI/CVPR/ICCV/ECCV/AAAI/IJCAI).
-
Candidates with outstanding achievements in authoritative competitions like MICCAI, CVPR, or KAGGLE are preferred.