Sort by
Refine Your Search
-
Description The National University of Singapore invites applications for a Research Assistant (RA) position in the Computational Brain Imaging Group (CBIG), at Yong Loo Lin School of Medicine. More information
-
research in technology & design, to embark on an academic career with SUTD by pursuing doctoral studies at top overseas Universities. The scholarship will provide monthly stipend and allowances during
-
use by the localized linguistic and cultural conditions and impact could be further studied. This project attempts to study, with the aid of technology and AI, the wealth of multilingual and
-
The School of Materials Science and Engineering (MSE) at Nanyang Technological University (NTU) has transformed into a global leader in Materials Engineering, offering cutting-edge education and
-
Job Description Job Alerts Link Apply now Research Assistant (Nanocatalysis) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Materials Science and Engineering
-
School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic
-
communication. The person should have a PhD/Master/Degree in social sciences/data analytics and have an appreciation of the cultural dynamics in Singapore and the region. He/she needs to be comfortable with
-
an emphasis on technology, data science and the humanities. The Data Science and Artificial Intelligence programme of LKCMedicine is a cross cutting programme that aims to bridge the gap between data science
-
an emphasis on technology, data science and the humanities. The Data Science and Artificial Intelligence programme of LKCMedicine is a cross cutting programme that aims to bridge the gap between data science
-
an emphasis on technology, data science and the humanities. The Data Science and Artificial Intelligence programme of LKCMedicine is a cross cutting programme that aims to bridge the gap between data science