Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
) at the National University of Singapore (NUS) is a leading multi-disciplinary institute devoted to developing new paradigms for understanding biological functions in health and diseases from the perspective of cell
-
modelling projects. This position will report directly to Senior Health Economists in the Health Economics Lab and offer an excellent opportunity to develop and refine in demand skills in applied health
-
for three highly motivated Research Fellow to join Associate Professor Xia Kelin's team at the School of Physical and Mathematical Sciences. The project focuses on developing Mathematical AI techniques
-
of these major chronic diseases. We are seeking a Research Fellow to support large-scale genomic data analysis and the generation of community resources for PRECISE-SG100K. The role involves pipeline development
-
under the supervision of Asst Prof Meng Xin from the Department of Civil and Environmental Engineering. This position is part of an exciting research programme aimed at developing generative AI tools
-
advance research in computer vision, machine learning, and/or robotics for the digitalization, monitoring, and automation of civil infrastructure. The role will focus on developing innovative methodologies
-
academic activities such as timetabling, faculty and guest lecturer coordination, student engagement, and reporting Contribute to curriculum development and delivery of teaching across multiple formats (e.g
-
to behavioural and population health data relevant to Singapore’s diverse communities. Develop predictive and explainable machine learning/deep learning/genAI models using multimodal cross-section and longitudinal
-
dedicated scientific and technical support for the development of advanced AI methods and foundation models in computational biology, ensuring the timely execution of funded research projects and the
-
. Programme Requirements The Fellow will develop and carry out the research project as outlined in the application. He/she will be expected to take an active part in the post-doctoral academic community