Postdoc: AI for Pathology & Medical Imaging

UC Irvine; Irvine (CA); On-site; USD 66,737 - 80,034; Full time

Job summary

UC Irvine's OctoPath Lab seeks exceptional postdoctoral research fellows to develop deep learning and computational methods for pathology image analysis, multimodal data integration, and emerging medical modalities.

Ideal candidates hold a PhD, have a strong publication record, and are experienced in ML/DL, Python, and PyTorch; appointments are for two years with renewal based on performance.

Qualifications

• Strong understanding of ML and DL methods with hands-on model development experience.
• Proficiency in Python, C/C++, and DL libraries such as PyTorch.
• Experience in a team-oriented software development environment including Git, issue tracking, and code review.
• First-author publications in top journals/conferences.

Skills

ML/DL methods

Python

C/C++

PyTorch

Git

Education

PhD in Computer Science / Biomedical Engineering / Bioinformatics

Tools

Git

Job description

UC Irvine's OctoPath Lab seeks exceptional postdoctoral research fellows to develop deep learning and computational methods for pathology image analysis, multimodal data integration, and emerging medical modalities.

Ideal candidates hold a PhD, have a strong publication record, and are experienced in ML/DL, Python, and PyTorch; appointments are for two years with renewal based on performance.