Telegram Group & Telegram Channel
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



tg-me.com/ai_python_en/2378
Create:
Last Update:

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

BY AI, Python, Cognitive Neuroscience


Warning: Undefined variable $i in /var/www/tg-me/post.php on line 283

Share with your friend now:
tg-me.com/ai_python_en/2378

View MORE
Open in Telegram


AI Python Cognitive Neuroscience Telegram | DID YOU KNOW?

Date: |

Traders also expressed uncertainty about the situation with China Evergrande, as the indebted property company has not provided clarification about a key interest payment.In economic news, the Commerce Department reported an unexpected increase in U.S. new home sales in August.Crude oil prices climbed Friday and front-month WTI oil futures contracts saw gains for a fifth straight week amid tighter supplies. West Texas Intermediate Crude oil futures for November rose $0.68 or 0.9 percent at 73.98 a barrel. WTI Crude futures gained 2.8 percent for the week.

AI Python Cognitive Neuroscience from de


Telegram AI, Python, Cognitive Neuroscience
FROM USA