184 genetic-algorithm-computer-"UCL" Fellowship positions at Nanyang Technological University
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
on complex system subject to various constraints. Design and develop real-time algorithms. Simulate and evaluate system performance. Document research outcome to publish at international conference / journal
-
on heterogeneous integration and security of chiplet-based IC systems. This role involves research and development in chiplet-based architectures, aiming to demonstrate secure intelligent computing platforms
-
on heterogeneous integration and security of chiplet-based IC systems. This role involves research and development in chiplet-based architectures, aiming to demonstrate secure intelligent computing platforms
-
. The roles of this position include: Development of algorithms to improve memory/sample/time efficiency of LLM training. Development of a workable prototype system with capabilities such as conversational
-
manufacturing, mechatronics, innovative design, nanotechnology, and biomedical and computational applications. Key Responsibilities: The research fellow will be leading the development of AI-based decision-making
-
on AI-driven end-to-end autonomous driving algorithms. Key Responsibilities: The research fellow will be leading the development of AI-driven end-to-end autonomous driving algorithms. The work will
-
will develop computational electromagnetics codes for rapid characterization of the fields scattered from artificial metasurfaces. Key Responsibilities: The key responsibilities of the Research Fellow
-
Associate Research Fellow / Research Fellow (Military Transformations Programme) The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang Technological University
-
Research Analyst/Senior Analyst/Associate Research Fellow (China Programme) The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang Technological University, Singapore
-
cooperative, competitive, and mixed settings. Collaborative decision-making frameworks and decentralized learning algorithms. Adaptive, meta-learning, and context-aware strategies to enhance policy