🔥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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Among the actives, Ascendas REIT sank 0.64 percent, while CapitaLand Integrated Commercial Trust plummeted 1.42 percent, City Developments plunged 1.12 percent, Dairy Farm International tumbled 0.86 percent, DBS Group skidded 0.68 percent, Genting Singapore retreated 0.67 percent, Hongkong Land climbed 1.30 percent, Mapletree Commercial Trust lost 0.47 percent, Mapletree Logistics Trust tanked 0.95 percent, Oversea-Chinese Banking Corporation dropped 0.61 percent, SATS rose 0.24 percent, SembCorp Industries shed 0.54 percent, Singapore Airlines surrendered 0.79 percent, Singapore Exchange slid 0.30 percent, Singapore Press Holdings declined 1.03 percent, Singapore Technologies Engineering dipped 0.26 percent, SingTel advanced 0.81 percent, United Overseas Bank fell 0.39 percent, Wilmar International eased 0.24 percent, Yangzijiang Shipbuilding jumped 1.42 percent and Keppel Corp, Thai Beverage, CapitaLand and Comfort DelGro were unchanged.
The lead from Wall Street offers little clarity as the major averages opened lower on Friday and then bounced back and forth across the unchanged line, finally finishing mixed and little changed.The Dow added 33.18 points or 0.10 percent to finish at 34,798.00, while the NASDAQ eased 4.54 points or 0.03 percent to close at 15,047.70 and the S&P 500 rose 6.50 points or 0.15 percent to end at 4,455.48. For the week, the Dow rose 0.6 percent, the NASDAQ added 0.1 percent and the S&P gained 0.5 percent.The lackluster performance on Wall Street came on uncertainty about the outlook for the markets following recent volatility.
