543 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Ulster-University" positions at Nanyang Technological University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
to support consistent and effective system use. Assess change requests with consideration for cross-system impacts, dependencies, and data consistency, and support the implementation and adoption of new
-
programme lines and the overall profitability and sustenance of the programmes. Develop and monitor the data quality metrics and ensure programme data and reporting needs are met. Cultivate short-term
-
qualitative and mixed-method research projects related to social-health integration, psychosocial impact of physical environment, and rehabilitation-related topics. Conduct qualitative data collection
-
The Wee Kim Wee School of Communication and Information (WKWSCI) is ranked 4th globally and 1st in Asia for media and communication studies, according to the latest QS World University Rankings
-
date of the advertisement is 11 February 2026. We regret that only shortlisted candidates will be notified. Other Information NIE staff can take chartered buses at their own expense from or near
-
A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has about 35,000 undergraduate and postgraduate students in the Business, Computing & Data Science
-
and use the insights to develop approaches for intervention. Key Responsibilities: The roles of this position include: Rigorous study design. Wet-lab experiments. Perform in-depth, critical data
-
on integrating environmental monitoring data with exposure assessment models and quantifying human health impacts during HPE in multiple cities in Southeast Asia. The role also involves assessing associated health
-
approaches for intervention. Key Responsibilities: The roles of this position include: Rigorous study design. Perform in-depth, critical data analyses. Effectively communicate through presentations and high
-
Responsibilities: To independently undertake research on data-efficient object detection with key techniques in few-shot learning, transfer learning, image synthesis, etc. To produce research reports and/or