664 data-"https:" "https:" "https:" "https:" "https:" "University of Kent" research jobs in Singapore
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
-
Field
-
5, with a particular emphasis on empirical analysis, AI-enabled data construction, and policy-relevant research outputs. Duties and Responsibilities: Design, develop, and execute empirical research
-
that delivers real-time, hyperlocal information on urban heat risks in tropical cities. Leveraging Doppler lidar–based microclimate studies and machine learning, the research emphasizes vulnerable groups
-
. Successful candidates will be part of a multi-disciplinary group comprising exercise and thermal physiologists, data scientists, biomedical engineers and researchers. This role will provide you with a unique
-
Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
-
-throughput synthesis, automation, and data-driven approaches. Key Responsibilities: Design and execute high-throughput synthesis workflows for solid-state materials, including intermetallics, chalcogenides
-
to ensure smooth project execution. Communicate with study participants, providing clear instructions and support throughout the research process. Collect, organise, and maintain research data in accordance
-
of Singapore invites applications for the position of Junior Research Assistant in the Department of Information Systems and Analytics, School of Computing (SoC). SoC is strongly committed to research excellence
-
. The position is suited for candidates who enjoy working with real-world data and translating quantitative insights into planning, design, and policy applications. The successful applicant will join a growing
-
Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
-
Description To design, build, and maintain hybrid scientific data platforms, focusing on backend systems that support both cloud-based and on-premise infrastructures. The role enables secure, human-centred