410 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Nanyang Technological University in Singapore
Sort by
Refine Your Search
-
Listed
-
Field
- Computer Science
- Engineering
- Economics
- Business
- Education
- Medical Sciences
- Materials Science
- Mathematics
- Arts and Literature
- Science
- Environment
- Biology
- Psychology
- Linguistics
- Social Sciences
- Sports and Recreation
- Earth Sciences
- Electrical Engineering
- Chemistry
- Philosophy
- Statistics
- 11 more »
- « less
-
The School of Social Sciences invites applications for Part-Time Lecturers (PTLs) to teach in the Master of Science in Psychology (MScP) programme. We are looking for PTLs to serve as primary
-
https://www.ntu.edu.sg/erian This Candidate will be working on a tidal project gaining hands on experience with drivetrain development, control system design, electrical machine health monitoring and
-
Wee Kim Wee School of Communication and Information Nanyang Technological University, Singapore Part-Time Lecturer for AI in Information Management We are seeking a part-time lecturer to teach AI
-
of wireless communications, signal processing and machine learning methods and algorithms for urban anomaly detection and human activity classification through 5G signal recording, processing analysis
-
workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for machine learning and AI acceleration. Perform
-
Young and research intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU Singapore has launched the “Care, Serve, and Learn” (CSL
-
assets for a game proposal. This learning enables students to build capable, engine-ready assets for any game project. Applicants to this position will be able to demonstrate expertise in the complete game
-
, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
-
learn to apply these processes judiciously while maintaining a focus on originality and professional integrity. Candidates should have a relevant Master’s and/or PhD in Digital Arts, Computational Media
-
Engineering in the 2025 QS World University Rankings by Subjects. The EEE Rapid-Rich Object SEarch (ROSE) Lab focuses on research in: (i) visual search & retrieval, (ii) video analytics & deep learning, and