12 machine-learning "https:" positions at Nanyang Technological University in engineering
-
Intelligence and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative machine learning models to address key challenges in the future airspace system
-
://www.ntu.edu.sg/eee. We are looking for a Research Engineer to develop machine learning models for recommendation systems. The role will focus on R&D activities including the development of recommendation system
-
(DFT) simulations and develop machine learning potentials to investigate zeolite-related systems. The role will focus on delivering research projects and promoting research excellence in this area. The
-
and predictions. Use cutting-edge methodologies such as A.I. and machine-learning to accelerate the numerical simulation processes. Develop optimal control strategies for energy systems Publish high
-
Synthesis Strong background in materials formulations or synthesis Experience in printing technology or coating techniques Expertise in Actuator device fabrication Expertise in AI and machine learning is
-
or thermal properties Expertise in AI and machine learning is advantageous Excellent written and verbal communication skills Ability to work independently and as part of a team We regret to inform that only
-
at the interface of optimization, geometry, and machine learning Designing, implementing, and testing algorithms Engaging in scientific exchange with collaboration partners of the project Preparing reports
-
robotic middleware (e.g., ROS, MoveIt) and hardware integration. Knowledge of machine learning, reinforcement learning, or vision-language models for robotics is a plus. Hands-on experience with robotic
-
at NTU are looking for a Research Fellow (RF) to carry out research in probabilistic machine learning and GenAI, by exploring cutting-edge approaches such as sequence model design, continual learning
-
machine-learning methods for conflict detection, separation assurance, and collision-free flight-path planning, and estimating the maximum operational capacity under varying maritime traffic and