Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Nanyang Technological University
- National University of Singapore
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Singapore Management University
- Singapore University of Technology & Design
- Nature Careers
- Lee Kuan Yew School of Public Policy
- Nanyang Technological University;
- ;
- NANYANG TECHNOLOGICAL UNIVERSITY
- National Institute of Education
- Washington State University
- 2 more »
- « less
-
Field
-
lines of research related to the Singaporean English mental lexicon. The candidate is expected to assist with the development and validation of large-scale psycholinguistic databases and word norms
-
and PET-MRI. For more details on what we do, do visit https://medicine.nus.edu.sg/circ/ . The mission of CIRC is to provide a shared state-of-the-art national resource for translational molecular
-
your own career path. We provide competitive remuneration as well as flexible work arrangements to enable your growth and development. We pride ourselves on our diverse workforce and are committed
-
Asia, towards safer and more sustainable societies. For more information on EOS please visit http://www.earthobservatory.sg . We are looking for a Research Fellow to conduct research on the development
-
Environmental Engineering, College of Design and Engineering (CDE)(https://cde.nus.edu.sg/cee/staff/ong-ghim-ping-raymond/) in fundamental and translational research in the development of new asphalt pavement
-
the nation’s education service. We play a key role in the preparation of teachers and in the provision of teacher professional and school leadership development programmes. We are committed to our vision
-
research, education, and transformation. Why Join Us? 🚀 Make an Impact: Play a key role in shaping financial strategies that influence the University’s growth and global standing. 📈Growth & Development: We
-
: community and professional development, international engagement, strategic leadership, and communication Application Please submit your application together with the following to us through: https://ntu.wd3
-
responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real
-
focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology