Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
- Computer Science
- Economics
- Engineering
- Medical Sciences
- Business
- Education
- Science
- Materials Science
- Biology
- Mathematics
- Arts and Literature
- Psychology
- Chemistry
- Environment
- Linguistics
- Electrical Engineering
- Social Sciences
- Earth Sciences
- Law
- Humanities
- Design
- Philosophy
- Sports and Recreation
- Statistics
- 14 more »
- « less
-
research in formal verification, machine learning and artificial intelligence system assurance. The successful candidate will develop new techniques and tools for analysing, verifying and improving
-
, Artificial Intelligence (AI) & Machine-Learning (ML) applications. Good written and oral communication skills Proficiency in power system modelling, advanced control theory (e.g., model-predictive control, etc
-
The Research Fellow (RF) will conduct research in the field of coastal dynamics, with a focus on the development and application of machine-learning-enhanced coastal models. The project aims
-
approach. The successful candidate will leverage their expertise in economics, computing, and generative machine learning to construct scenarios semi-automatically. Responsibilities: • Conduct
-
coding skills including Pandas package, statistical or machine learning packages, access to cloud AI services Experience with cloud services and environments Experience with developing Web or mobile
-
software infrastructure necessary to bring cutting-edge machine intelligence from simulation into the physical world. Key Responsibilities: • Develop, optimize, and maintain data pipelines for processing
-
scientific leaders and researchers. The group of Wang Zhongjian is looking for postdocs working on scientific computing and machine learning related topics. The funding is currently under a MOE grant entitled
-
computing environments and GPU computing. Proven experience in weather and climate models development and applications. Experience in machine learning, deep learning, or AI applications for atmospheric
-
sustainable manner. Key Responsibilities: Responsible for developing explainable machine learning algorithms for Tunnel Boring Machine (TBM) tunnelling and excavation Developing large language model enhanced
-
skills, including statistical analysis using R, Python, SPSS, Stata, or equivalent software. • Experience with computational social science methods, including NLP, machine learning, LLMs, social media