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🔥 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/it/telegram/com.RIMLLab/164

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

tg-me.com/RIMLLab/164

Create: 2025-02-25
Last Update: 2025-06-25 22:37:56

🔥 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

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Date: 2025-06-25| telegram

The S&P 500 slumped 1.8% on Monday and Tuesday, thanks to China Evergrande, the Chinese property company that looks like it is ready to default on its more-than $300 billion in debt. Cries of the next Lehman Brothers—or maybe the next Silverado?—echoed through the canyons of Wall Street as investors prepared for the worst.

Should I buy bitcoin?

“To the extent it is used I fear it’s often for illicit finance. It’s an extremely inefficient way of conducting transactions, and the amount of energy that’s consumed in processing those transactions is staggering,” the former Fed chairwoman said. Yellen’s comments have been cited as a reason for bitcoin’s recent losses. However, Yellen’s assessment of bitcoin as a inefficient medium of exchange is an important point and one that has already been raised in the past by bitcoin bulls. Using a volatile asset in exchange for goods and services makes little sense if the asset can tumble 10% in a day, or surge 80% over the course of a two months as bitcoin has done in 2021, critics argue. To put a finer point on it, over the past 12 months bitcoin has registered 8 corrections, defined as a decline from a recent peak of at least 10% but not more than 20%, and two bear markets, which are defined as falls of 20% or more, according to Dow Jones Market Data.

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