Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
deployment enabling validation and demonstration of real-world applications. Key Responsibilities: Manage the technical aspects of the project and ensure that the deliverables are delivered on time. Manage
-
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
-
academia, industry, and national laboratories Job Requirements: PhD in Materials Science, Chemistry, Physics, Computer Science, or a closely related discipline. Strong experience with Density Functional
-
deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are seeking a Research Fellow to lead the development and
-
models are accurate, safe, interpretable, clinically applicable, and ethically deployed. Job Requirements: PhD degree in Artificial Intelligence, Computer Science, or a related field. Good written and oral
-
deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Fellow to develop high performance and
-
The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) at NTU Singapore, in collaboration with Wageningen University & Research (WUR), is part of Singapore Indoor Farming System
-
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
-
smart solutions; Facilitate translation and commercialisation of solutions. As part of this programme, Vertical 1 Innovative Engineering Solutions, Project 1: Flexible Seawall for Coastal Reservoir and
-
and PhD students on computational mathematics and AI methodologies. Job Requirements: A PhD degree in Applied Mathematics, Computer Science, Engineering, or a related quantitative field. Deep expertise