147 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Fellowship positions at Nanyang Technological University
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
field Strong background in control theory, optimisation-based algorithms and/or machine learning Excellent verbal and written communication skills Proficiency in programming languages in Python and/or C/C
-
deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian Multi-Energy System & Grids Team is looking for a Research Fellow in
-
, please view https://www.ntu.edu.sg/newri We are seeking a highly self-motivated individual to join the Nanyang Environment and Water Research Institute (NEWRI) as a Research Fellow. The successful
-
, please view https://www.ntu.edu.sg/newri We are seeking a highly self-motivated individual to join the Nanyang Environment and Water Research Institute (NEWRI) as a Research Fellow. The successful
-
sustainability. For more details, please view https://www.ntu.edu.sg/ase The Organo-Mineral Group (OMG) within the Asian School of the Environment (ASE) is seeking a Research Fellow. This position is part of a
-
Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . This position supports frontier research in the electrocatalysis of hydrogen
-
, 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
-
Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research. The Research Fellow will undertake advanced research in the field of quantum
-
, machine learning, and life cycle assessment, we aim to create sustainable wearable systems to enhance human well-being. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking
-
superlattices (twistronics). The role will focus on developing and applying theoretical models and computational quantum chemistry and machine learning methods to uncover novel properties and phenomena in low