Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- ;
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- Chinese Academy of Sciences
- European University Institute
- Great Bay University
- Peking University
- Tsinghua University
- Beijing Academy of Quantum Information Sciences
- Beijing Institute of Mathematical Sciences and Applications
- Jinan University - University of Birmingham Joint Institute
- London South Bank University;
- Nottingham Trent University;
- Shanghai Jiao Tong University
- Sichuan University
- Southern University of Science and Technology
- Southwestern University of Finance and Economics
- The Hong Kong University of Science and Technology (Guangzhou);
- University of Chinese Academy of Sciences
- University of Liverpool
- University of Salford;
- 11 more »
- « less
-
Field
-
. Possible research topics include: Scientific machine learning Numerical partial differential equations (PDEs) Computational fluid dynamics Neural operators High-performance computing Data-driven
-
innovation in autonomous scientific discovery. • Science of AI: We investigate the theoretical foundations of machine learning itself, leveraging tools from quantum information, statistical mechanics, and
-
Applications of Artificial Intelligence, Interdisciplinary Fields 3. Statistics: Machine Learning, Big Data Analysis III. Recruitment positions: Senior Positions (Top and Leading Talents), Junior Positions
-
that integrate physical laws, numerical solvers, and machine learning, with strong emphasis on interpretability, reliability, and scientific validity. The position will contribute substantially to both high
-
physics, nuclear astrophysics, quantum sensing, machine learning, gravitational waves, and particle theory and experiment. Faculty members include Professors Weiping Liu, Jie Chen, Sebastian Garcia-Saenz
-
teach a diverse range of SUSTech students (undergraduate and postgraduate). SUSTech is a young public university located in Shenzhen, China, near Hong Kong. The main languages of instruction at
-
modeling • Mathematical finance and quantitative economics • Financial technology, blockchain technologies, digital currencies • Scientific machine learning and AI-inspired mathematical methods
-
, animation, UX, interface design, mobile apps, VR) and be well-versed in the use of Adobe CS or Adobe CC along with other computer software and hardware. Due to funding deadlines this role will initially be
-
learning experience, preparing graduates to thrive in an increasingly global workforce. Lecturers will contribute to the delivery of GCU programmes at the University of Jinan and GCU Joint Institute
-
Research and Cybernetics n (Optional) Interdisciplinary areas in Mathematics and AI: Machine Learning, Statistical Learning, Optimization, Computational Modelling, etc . Candidates with strong research