39 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in China
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- Chongqing University
- ; Xi'an Jiaotong - Liverpool University
- Fudan University
- Shanghai Jiao Tong University
- Sun Yat-Sen University
- Beijing Institute of Mathematical Sciences and Applications
- South China University of Technology
- The Chinese University of Hong Kong
- Westlake University
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- BNU-HKBU United International College
- Central China Normal University
- Chinese Academy of Sciences
- Hebei Normal University
- Institute of Theoretical Physics
- Nanjing Normal University
- Nanjing University of Information Science and Technology
- New York University Shanghai
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- Tsinghua University
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, bio-inspired amphibious robots design as well as AI application in vortical flow control and sensing. Based on physics-informed (and -informative) machine learning, we combine domain expertise (fluid
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, bio-inspired amphibious robots design as well as AI application in vortical flow control and sensing. Based on physics-informed (and -informative) machine learning, we combine domain expertise (fluid
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Fudan University, Department of Physics/Atom Quantum Computing Lab Position ID: Fudan University -Department of Physics/Atom Quantum Computing Lab -PD [#29908] Position Title: Position Location
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; no new applications will be accepted after 2025/06/01 11:59PM US Eastern Time. Position Description Applications are invited to a postdoctoral opening in computational physics in the School of Physics and
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, advanced networks and system architecture, machine learning and cross-media perception, as well as big data and service computing. It was the first in the world to propose chaotic cryptosystems and privacy
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: Quantum Information Science / quantum computing Appl Deadline: none Position Description: Apply Position Description An experimental postdoctoral position is open to work with the group of Prof. Tim Byrnes
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, separation, and catalysis, with a focus on carbon capture and conversion technologies. Artificial Intelligence: Leveraging AI and machine learning to optimize material design and catalysis processes. Carbon
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simulations of PDEs, deep learning, neural networks. Our research interest: Our focus is on theoretical and computational biological physics, ranging from the study of molecules to cells. We strive to leverage
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researchers in pursuit of advancing knowledge and making significant contributions to their respective fields. ESSENTIAL QUALIFICATIONS/EXPERIENCES PhD Graduation; Strong background in deep learning, machine
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Ion Physics Nuclear Physics / Lattice QCD Lattice Field Theory Machine Learning / Machine Learning lattice gauge theory (more...) High Energy Physics / Theoretical Particle Physics Appl Deadline