577 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" research jobs in Singapore
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
-
Field
-
to improve population health through multidisciplinary and translational research to support interventions, policy and programmes; strengthen national capabilities through the integration of translational
-
: Electrical and Computer Engineering Employee Category: Research Staff Location: Kent Ridge Campus Posted On: 13/02/2026 ▲ Collapse Job Title: Research Fellow (Topolectrical Circuits and Non-Hermitian Physics
-
Job Description Job Alerts Link Apply now Senior Research Fellow (Quantum Cryptography) University-Level Unit: Centre for Quantum Technologies Faculty/Department-Level Unit: Computer Science Group
-
on the Internet, and its implications on the society of the future. This is an exciting opportunity to join us as a Research Fellow under a new programme centered on the culture and politics of social media
-
University of Singapore invites applications for Research Fellow / Research Associate to be involved in The Integrated Women’s Health Program (IWHP) longitudinal cohort and the MUSE Randomized Control Trial
-
for quantum-capable attackers and plan migration/interoperability strategies. Zero-knowledge proof systems • Design and analyze ZKP-based identity and authorization protocols (selective disclosure, anonymous
-
to high-impact research within a leading neurobiology programme at NUS. Research Support Assist in the design, planning, and execution of experiments aligned with project objectives. Work closely with
-
Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
-
Project Overview The Antimicrobial Resistance Interdisciplinary Research Group (AMR IRG) is a unique translational research and entrepreneurship program aimed at solving the growing threat
-
interventions. The programme draws on a richly phenotyped biorepository of stroke patient samples, comprehensively profiled by whole-exome sequencing, RNA-seq, and proteomics, with clinical outcomes tracked over