80 machine-learning Fellowship positions at National University of Singapore

Research Fellow (Information Theory, Statistical Signal Processing, and Machine Learning)

engineering, computer science, or applied mathematics and a strong publication record in machine learning. The candidate will work closely with Dr. Cheung Wang Chi Dr. Vincent Tan and will use the postdoctoral

Research Fellow (Machine Learning in Optimization), ChBE

Job Description •    The Research Fellow will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems

Research Fellow (Computational Science and Machine Learning)

Job Description We are hiring 1 Research Fellow in computational science and machine learning for extreme weather forecasting applications. The project is in collaboration with several partner

Research Fellow in Quantum Chemistry (Quantum Machine Learning for Drug Discovery)

classical and quantum machine learning on graphs datasets, with applications to drug development. Job Requirements The candidate should hold a Ph.D. in physics, mathematics, computer science or equivalent

Research Fellow (Infectious Disease Modelling and Machine Learning for Public Health)

Job Description Research Fellow in Infectious Disease Modelling and Machine Learning for Public Health The National University of Singapore's Saw Swee School of Public Health (NUS) seeks a dedicated

Research Fellow (Collaborative Machine Learning)

The Role The Research Fellow will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on trusted collaborative machine

Research Analyst/ Associate/ Fellow in Machine Learning and Artificial Intelligence (ML/AI)

the financial sector and the economy at large. This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and

Research Fellow (Network Centric Services for Industrial Metaverse)

,  AI, machine learning, optimization and game theory. •    Strong research record with independent research and development capability. •    Open to Fixed Term Contract More Information Location: Kent

Research Fellow, School of Computing

-fully supervised learning Result motivated Prior publications in major computer vision (CVPR/ICCV/ECCV) or machine learning (NeurIPS, ICML/ICLR) conferences is a plus The successful incumbent will be

Research Fellow (Urban Mobility)

Environmental Engineering and the Department of Industrial System Engineering and Management. The research project aims to develop data-driven and learning-based methodology frameworks for urban mobility