🔥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
🔥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
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Telegram auto-delete message, expiring invites, and more
elegram is updating its messaging app with options for auto-deleting messages, expiring invite links, and new unlimited groups, the company shared in a blog post. Much like Signal, Telegram received a burst of new users in the confusion over WhatsApp’s privacy policy and now the company is adopting features that were already part of its competitors’ apps, features which offer more security and privacy. Auto-deleting messages were already possible in Telegram’s encrypted Secret Chats, but this new update for iOS and Android adds the option to make messages disappear in any kind of chat. Auto-delete can be enabled inside of chats, and set to delete either 24 hours or seven days after messages are sent. Auto-delete won’t remove every message though; if a message was sent before the feature was turned on, it’ll stick around. Telegram’s competitors have had similar features: WhatsApp introduced a feature in 2020 and Signal has had disappearing messages since at least 2016.
Unlimited members in Telegram group now
Telegram has made it easier for its users to communicate, as it has introduced a feature that allows more than 200,000 users in a group chat. However, if the users in a group chat move past 200,000, it changes into "Broadcast Group", but the feature comes with a restriction. Groups with close to 200k members can be converted to a Broadcast Group that allows unlimited members. Only admins can post in Broadcast Groups, but everyone can read along and participate in group Voice Chats," Telegram added.
