122 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" "U.S" Fellowship positions at National University of Singapore
Sort by
Refine Your Search
-
) at Duke-NUS Medical School is seeking a Research Fellow to support the ongoing “Future Health Technologies” (FHT1) research programme. FHT1 is dedicated to developing innovative, scalable digital solutions
-
perception and consumption of online news. Lead the recruitment of participants for experiment sessions. Plan the necessary logistics for the administration of survey experiments and prepare IRB documentation
-
, histology, immunohistochemistry, immunofluorescence, RNA sequencing, proteomics, metabolomics, and related data and statistical analysis; Prepare manuscripts for publication in peer-reviewed journals
-
essential, along with a strong track record and international recognition in research, as well as demonstrated ability to develop and lead robust research initiatives for CIL’s Oceans Law and Policy Team
-
level students in their research projects. - Contribute to curriculum design, teaching, and student engagement in AI-for-Science courses and seminars. - Support the development and deployment of AI-driven
-
aspects of health at NUS and in Singapore, and beyond; and to develop interdisciplinary translational research and evaluation methods to support our evidence-based approach. We aspire to become the leading
-
. The applicant will be offered flexibility in terms of specific research direction and career development. PURPOSE AND MAIN ROLES The incumbent will have access to cognitive neuroscience data (including EEG and
-
factors for selection All proposals will need to be supported by a LKCNHM staff. Proposals developed jointly with NUS and/or Museum curators will be given preference. The deadline for application is 15 July
-
highly motivated Research Fellow (Postdoctoral Researcher) to join our team, specializing in the research and development of advanced flexible electronics for health monitoring applications. The successful
-
developed innovative methodologies for assessing urban green spaces for their human well-being potentials through the integration of various quantitative and qualitative research approaches. In this project