184 computer-programmer-"Multiple"-"U"-"O.P"-"Prof"-"Prof"-"U.S" Fellowship positions at Nanyang Technological University
Sort by
Refine Your Search
-
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
-
decision-making and research findings. Qualifications & Competencies: Minimally a PhD degree in Artificial Intelligence, Computer Science, Optimization, or a related field. Strong foundation in multi-agent
-
: Management of large datasets across multiple courses and academic years. Conduct the required data analyses to test the hypotheses outlined by the research team, including Hierarchical Linear Modelling and
-
project: “Climate Transformation Program (CTP): Cross Cutting Theme 1 – Sustainable Societies” funded by the MOE Tier 3C Grant. CTP aims to develop, inspire, and accelerate knowledge-based solutions and
-
environment. Develop robot localization approach leveraging data from multiple sensors including but not limited to camera and lidars. Develop efficient approach for multi-robot trajectory planning and tracking
-
The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
-
, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
-
. Applicants must have proof of excellence in research. Applicants should aspire to develop successful academic career. Applicants are Singapore Citizens. Further information on the programme – including
-
be required to lead a project under a larger research programme between Singapore and China. The candidate should fulfill the following responsibilities: Design, perform, and optimize experiments with
-
, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems