Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
of performance, speed, and precision. Key Responsibilities: Design and implement genAI models for embodied AI systems. Develop and optimize deep learning algorithms to enable robotic arms to perform complex tasks
-
RIE2025. The Laboratory’s objective is to propel Innovation and Technologies commercialisation through NTU’s innovation and NTI’s deep technology. NTI-NTU Corporate Laboratory aligns with Singapore’s
-
(terrestrial and NTN). The goal of this research is to design and develop algorithms and techniques that adapt to the environment, minimizing signaling overhead associated with channel estimation and enhancing
-
complexity in neuroimaging research, it continues to play a key role in advancing both basic and clinical research. We seek a Research Fellow with strong hands-on expertise in designing and conducting
-
on the AI-driven design and discovery of novel multifunctional composites (MFCs) with enhanced functional properties. Key Responsibilities: Establishing a comprehensive database of MFCs for analysis and
-
innovative research. The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry. Demonstrated ability to formulate hypothesis and design effective experimental plans
-
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
-
by using explainable AI To develop generative AI techniques to design novel biologics for cancer Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or
-
Responsibilities: Conduct research on the design and analysis of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop algorithms and prototypes
-
Solution Centre SAS-C. Key Responsibilities: Research and develop AI-assisted methodologies and tools for anomaly and stress pattern detection in aquaculture systems. Focus on multi-modal sensor data