RIML Lab

🔥 Open Position: Research Intern/Collaborator – Virtual Staining of Histopathology Images

🔸 Join our CVPR conference paper project on Virtual Staining!
We are looking for dedicated researchers, with a preference for local candidates, as this role requires 20 hrs/week of in-person collaboration.

🔸 Technical Requirements:
💠 Strong English reading & writing skills for technical documentation.
💠 Hands-on experience with:
    🌀 PyTorch & deep learning fundamentals
    🌀 Running & troubleshooting GitHub repositories
    🌀 Exposure to generative models (GANs, diffusion models) is a plus!
    🌀 Ability to write clean, organized Python code

🔸 Non-Technical Requirements:
💠 Commitment to 20 hrs/week in-person work at our lab
💠 Persistence in solving technical challenges (e.g., debugging model training)
💠 Strong teamwork & communication skills
💠 Curiosity about medical imaging & generative AI

🔸 Why Join?
💠 Mentorship from Dr. Rohban & the RIML Lab team
💠 Hands-on experience with generative models (GANs/Diffusion) for medical imaging
💠 Work with collaborative coding (GitHub) & Linux-based workflows
💠 Opportunity for CVPR-tier co-authorship & strong recommendation letters

📩 How to Apply
The deadline for submission has already passed

www.tg-me.com/us/RIML Lab/com.RIMLLab/164

4.0K viewsAmir Kasaei, edited  Feb 25 at 18:49

🔥 Open Position: Research Intern/Collaborator – Virtual Staining of Histopathology Images

🔸 Join our CVPR conference paper project on Virtual Staining!
We are looking for dedicated researchers, with a preference for local candidates, as this role requires 20 hrs/week of in-person collaboration.

🔸 Technical Requirements:
💠 Strong English reading & writing skills for technical documentation.
💠 Hands-on experience with:
    🌀 PyTorch & deep learning fundamentals
    🌀 Running & troubleshooting GitHub repositories
    🌀 Exposure to generative models (GANs, diffusion models) is a plus!
    🌀 Ability to write clean, organized Python code

🔸 Non-Technical Requirements:
💠 Commitment to 20 hrs/week in-person work at our lab
💠 Persistence in solving technical challenges (e.g., debugging model training)
💠 Strong teamwork & communication skills
💠 Curiosity about medical imaging & generative AI

🔸 Why Join?
💠 Mentorship from Dr. Rohban & the RIML Lab team
💠 Hands-on experience with generative models (GANs/Diffusion) for medical imaging
💠 Work with collaborative coding (GitHub) & Linux-based workflows
💠 Opportunity for CVPR-tier co-authorship & strong recommendation letters

📩 How to Apply
The deadline for submission has already passed

BY RIML Lab