212 web-programmer-developer-"U.S"-"U.S" Fellowship positions at Nanyang Technological University in Singapore
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
research effort in School of Physical and Mathematical Sciences at NTU to develop new knowledge and technologies. Key Responsibilities: Design of topological photonic devices Experimental study of
-
fellow is to study quantum magnets, with special attention with altermagnets and the related quantum responses. RF needs to develop theoretical and computational tools in this direction. Job Requirements
-
of the research fellow is to study correlated quantum materials, with special attention with topological materials with strong correlations. RF needs to develop theoretical and computational tools in this direction
-
carry out and oversee research projects in multimodal, generative, and embodied AI. The role will focus on designing, developing, analyzing, and evaluating large AI models to push the current boundaries
-
research projects in aquaculture (e.g., health monitoring, yield prediction, system optimization) and/or drug delivery (e.g., predictive modeling, nanocarrier design, therapeutic response analysis). Develop
-
transformative research initiative aimed at developing next-generation chemo-sensing platforms. The successful candidate will contribute to the development of solid-state, surface-based electrochemical sensors
-
, 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
-
Centre for Advanced Robotics Technology Innovation (CARTIN) is looking for a candidate to join them as a Research Fellow. Key Responsibilities: Develop novel algorithms for multi-agent inverse
-
We are looking for a Research Fellow that supports the photonic platform development at the National Center of Advanced Integrated Photonics. The Research Fellow will be instrumental in guiding and
-
, 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