Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- ;
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- Duke Kunshan University
- Central China Normal University
- Harbin Engineering University
- Macao Polytechnic University
- The Chinese University of Hong Kong
- UNIVERSITY OF MACAU
- WENZHOU - KEAN UNIVERSITY
- Beijing Academy of Quantum Information Sciences
- Fudan University
- Haide College, Ocean University of China;
- Hong Kong University of Science and Technology(Guangzhou)
- Institute of Theoretical Physics
- Jinan University - University of Birmingham Joint Institute
- Nanjing Normal University
- Peking University
- School of Sciences
- TAIPEI MEDICAL UNIVERSITY (TMU)
- The Hong Kong University of Science and Technology (Guangzhou)
- The Hong Kong University of Science and Technology (Guangzhou);
- UNIVERSITY OF THE WEST OF SCOTLAND
- 13 more »
- « less
-
Field
-
experience, contributing to curriculum design, teaching, assessment, and educational research. They will bring expertise in contemporary pedagogies, including co-creation and active learning, and demonstrate
-
are not limited to: (1) Embodied AI and Machine Learning for Robotics; (2) Multi-Robot Systems; (3) Human–Robot Interaction; and (4) Robot Perception and Sensor Fusion. The selected candidate is expected
-
FinTech or related fields, e.g., Computational Mathematics, Computer Science, Economics, Finance, Financial Engineering, Information Systems, Machine Learning, Mathematical Finance, Operations Research
-
the continued development of new academies to build an institutional ecosystem. With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities
-
intelligence, machine learning, deep learning, computer vision, natural language processing, biocomputation, numeral networks, generative artificial intelligence, or mathematical modelling who can: Conduct high
-
areas in Mathematics and AI: Machine Learning, Statistical Learning, Optimization, Computational Modelling, etc . Candidates with strong research potential or established academic records in these areas
-
contributions in one or more of the following key areas: computational modeling of chemical systems, AI-driven materials discovery/design, robotics for chemical synthesis, machine learning applications in
-
seeks a distinguished scholar for a faculty position at the Full Professor level. The ideal candidate will be at the forefront of research that integrates modern machine learning methods with economic
-
candidate will be expected to teach interdisciplinary courses in our Computation & Design major, including Computational Social Science, Machine Learning for Social Science, Modeling and Predicting, and
-
intelligence methods that integrate physical laws, numerical solvers, and machine learning, with strong emphasis on interpretability, reliability, and scientific validity. The position will contribute