943 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at National University of Singapore
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
with the PI and local research teams • Manage field-based data collection, including surveys, interviews, focus groups observational assessments • Design and validate survey instruments and context
-
programmes. Collect and analyse data on education systems in Singapore and internationally to support NUS’s overall admissions strategy. Collaborate with internal and external stakeholders to ensure a smooth
-
to queries from prospective students and parents via email, phone, or chat. Provide accurate information on admissions requirements, deadlines, and processes. Escalate complex cases to the appropriate
-
in using laboratory equipment and skill in analysis experimental data. • Ability to work independently and as part of a multi-disciplinary team. More Information Location: Kent Ridge Campus
-
applications for the position of Research Assistant in the Department of Information Systems and Analytics (DISA), School of Computing (SoC). SoC is strongly committed to research excellence in all its
-
sleep deprivation on cognition using electroencephalography (EEG) techniques, wearable devices and smartphones as well as questionnaires and computer-based behavioral tests. The Tech Support Specialist
-
sleep deprivation on cognition using electroencephalography (EEG) techniques, wearable devices and smartphones as well as questionnaires and computer-based behavioral tests. The Tech Support Specialist
-
processed.) To provide Admin support for student related processes including documentation, preparation and collation of students' data using Monday.com platform, onboarding students and other processes
-
to resolve issues, and able to work under pressure. Pleasant disposition with customer centric mindset to communicate with multiple categories of stakeholders. Able to articulate well to convey information
-
operational modelling and simulation, pricing & cost control to contribute to growth of the team resources. The ideal candidate is highly organized and proficient in using current data and machine learning