Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Processing and Machine Learning to develop signal processing and machine learning algorithms and methods for drone swarms. The role will focus on visual localization techniques. Key Responsibilities: Develop
-
all project deliverables are met. Undertake these responsibilities in the project: Conduct technology review of sensor technology Develop algorithms/models for engine health monitoring Develop prototype
-
the development of integrated sensor arrays through innovative materials design and validation techniques. This role supports NTU’s strategic direction in cutting-edge sensor research by contributing
-
) Design robust obstacle avoidance algorithms for mobile robots in dynamically changing environments, focusing on formal safety constraints and real-time performance in unpredictable conditions. b) Develop
-
frontiers in one of Asia’s leading biomedical research hubs. Duke-NUS Medical School combines the academic excellence of Duke University with Singapore’s vision for translational biomedical innovation
-
: Design, optimise, and operate ultra-cold atom interferometry experiments for multi-axis acceleration measurements. Develop methods to suppress drift and enhance sensor stability for extended-duration
-
-baccalaureate, research-intensive medical education to Asia. A truly global partnership, it combines the expertise and resources of two leading universities: the National University of Singapore and Duke
-
on high-speed vision perception for autonomous driving. This project aims to advance the state of the art in visual perception algorithms and real-time systems for autonomous racing, pushing the boundaries
-
Responsibilities: Conduct research on differential privacy algorithms with applications in computational processes. Develop innovative ideas to enhance existing algorithms and frameworks. Collaborate on applying
-
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