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Scientific Computing and Machine Learning
SCML
Scientific Computing and Machine Learning
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Scientific Computing and Machine Learning Research Group

Professor Jinchao Xu leads the so-called SCML research group, which stands for

Scientific Computing and Machine Learning Research Group

The Scientific Computing and Machine Learning Lab (SCML) is led by Professor Jinchao Xu of the Applied Mathematics and Computational Science (AMCS) Program in the Computer, Electrical, Mathematical Sciences and Engineering Division at King Abdullah University of Science and Technology (KAUST).

KAUST Innovation Hub in Shenzhen

Research

Opportunities at SCML research group

Opportunities

Post-doctoral Fellows Positions We are recruiting Post-doctoral Fellows who have completed their Ph.D. in the past five years, or will complete soon, and ready to address the challenges of the SCML. The selected candidates will be supported by a generous funding KAUST package according to their credentials and experience. Are you ready to consolidate your research experience and bootstrap your career, embracing the unique opportunity of participating in the shaping of the challenging and innovative research themes of the SCML at KAUST? PhD students interested in the challenges of SCML If you

Meet the Team

Get to know the Team

Events

Learn more about SCML events

Scientific Computing and Machine Learning (SCML)

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