184 computer-programmer-"University-of-St"-"University-of-St" Fellowship positions at Nanyang Technological University
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
development of next-generation computational tools for simulating particle-laden two-phase flows by integrating advanced Artificial Intelligence (AI) techniques with traditional computational fluid dynamics
-
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
-
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
-
) at the Novena campus. Flexibility to work at either site, depending on project and operational requirements, is essential. Key Responsibilities: Design, plan and conduct experiments using structural and
-
cutting-edge research in computational X-ray photonics. The research fellow will assist in the development of novel theoretical numerical framework pertaining the generation of compact, high quality X-rays
-
of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and
-
Engineering, Automation, Mechanical Engineering, Control Engineering, Mechatronics, Computer Science, AI, etc. Strong background in autonomous driving, deep learning, interaction modelling, prediction, robotics
-
relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: Possess a PhD degree in Computer Science, Mathematics, or a closely related area Knowledge
-
research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
-
record in top-tier venues. Experience with LLM-based program analysis and infrastructure security. Proven ability to work collaboratively on interdisciplinary research projects. Excellent communication and