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πŸ”₯ Open Position: Research Intern/Collaborator – Virtual Staining of Histopathology Images

πŸ”Έ 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.

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

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

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

πŸ“© How to Apply
The deadline for submission has already passed



tg-me.com/RIMLLab/164
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πŸ”₯ Open Position: Research Intern/Collaborator – Virtual Staining of Histopathology Images

πŸ”Έ 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.

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

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

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

πŸ“© How to Apply
The deadline for submission has already passed

BY RIML Lab


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Newly uncovered hack campaign in Telegram

The campaign, which security firm Check Point has named Rampant Kitten, comprises two main components, one for Windows and the other for Android. Rampant Kitten’s objective is to steal Telegram messages, passwords, and two-factor authentication codes sent by SMS and then also take screenshots and record sounds within earshot of an infected phone, the researchers said in a post published on Friday.

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