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با تشکر از دکتر آرش ربانی برای ارسال این موقعیت تحصیلی هر کدوم از دانشجوها علاقمند به اپلای هستند اقدام کنند.
A fully funded Ph.D. position in computer science at the University of Leeds! We are looking for an outstanding international or UK-based applicant to join our research group (Data Flow Lab) at the school of computing. The project title is “3D reconstruction of porous material based on 2D images using conditional generative adversarial neural networks (CGANs)”. If you are interested in Generative Adversarial Neural Networks, functional material, porous media, and 3D image analysis, don’t miss the opportunity! We will be working closely with the school of geoscience and medicine to study realistic images of geological and biological porous material. For more information and to express interest, please be in touch through email ([email protected]).

FindAPhD page link: https://www.findaphd.com/phds/project/3d-reconstruction-of-porous-material-based-on-2d-images-using-conditional-generative-adversarial-neural-networks-cgans/?p154984
University page link: https://phd.leeds.ac.uk/project/1597-3d-reconstruction-of-porous-material-based-on-2d-images-using-conditional-generative-adversarial-neural-networks-cgans
Research group link: www.DataFlowLab.org



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با تشکر از دکتر آرش ربانی برای ارسال این موقعیت تحصیلی هر کدوم از دانشجوها علاقمند به اپلای هستند اقدام کنند.
A fully funded Ph.D. position in computer science at the University of Leeds! We are looking for an outstanding international or UK-based applicant to join our research group (Data Flow Lab) at the school of computing. The project title is “3D reconstruction of porous material based on 2D images using conditional generative adversarial neural networks (CGANs)”. If you are interested in Generative Adversarial Neural Networks, functional material, porous media, and 3D image analysis, don’t miss the opportunity! We will be working closely with the school of geoscience and medicine to study realistic images of geological and biological porous material. For more information and to express interest, please be in touch through email ([email protected]).

FindAPhD page link: https://www.findaphd.com/phds/project/3d-reconstruction-of-porous-material-based-on-2d-images-using-conditional-generative-adversarial-neural-networks-cgans/?p154984
University page link: https://phd.leeds.ac.uk/project/1597-3d-reconstruction-of-porous-material-based-on-2d-images-using-conditional-generative-adversarial-neural-networks-cgans
Research group link: www.DataFlowLab.org

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AI Python Cognitive Neuroscience Telegram | DID YOU KNOW?

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Find Channels On Telegram?

Telegram is an aspiring new messaging app that’s taking the world by storm. The app is free, fast, and claims to be one of the safest messengers around. It allows people to connect easily, without any boundaries.You can use channels on Telegram, which are similar to Facebook pages. If you’re wondering how to find channels on Telegram, you’re in the right place. Keep reading and you’ll find out how. Also, you’ll learn more about channels, creating channels yourself, and the difference between private and public Telegram channels.

What is Telegram?

Telegram’s stand out feature is its encryption scheme that keeps messages and media secure in transit. The scheme is known as MTProto and is based on 256-bit AES encryption, RSA encryption, and Diffie-Hellman key exchange. The result of this complicated and technical-sounding jargon? A messaging service that claims to keep your data safe.Why do we say claims? When dealing with security, you always want to leave room for scrutiny, and a few cryptography experts have criticized the system. Overall, any level of encryption is better than none, but a level of discretion should always be observed with any online connected system, even Telegram.

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