816 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Singapore
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Nanyang Technological University
- National University of Singapore
- Singapore Management University
- Singapore University of Technology & Design
- Singapore-MIT Alliance for Research and Technology
- Ministry of Education
- Nanyang Technological University;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- ;
- Lee Kuan Yew School of Public Policy
- Nature Careers
- 1 more »
- « less
-
Field
- Computer Science
- Economics
- Engineering
- Medical Sciences
- Business
- Education
- Science
- Biology
- Materials Science
- Arts and Literature
- Psychology
- Mathematics
- Philosophy
- Humanities
- Linguistics
- Electrical Engineering
- Social Sciences
- Environment
- Sports and Recreation
- Chemistry
- Design
- Earth Sciences
- Law
- Statistics
- 14 more »
- « less
-
deployment enabling validation and demonstration of real-world applications. We are looking for a software engineer to develop and maintain scalable software applications with a focus on AI, machine learning
-
operations, such as data storage, budgets, expenses, assets, and ethics approvals. Key Responsibilities: Conduct independent and collaborative research applying AI and machine learning techniques
-
: Electrochemical process on interface phenomena Battery testing under different conditions Simulation of scaled up process. Interface with machine learning group on data base set up Battery safety testing Presenting
-
in numerical analysis, partial differential equations (PDEs), and scientific computing. Solid background in machine learning theories, with specific experience in Physics-Informed Machine Learning
-
in empirical analysis using econometric, machine-learning, and language-modeling techniques. Conducting literature reviews and synthesizing existing academic research to support ongoing projects
-
Assistant at the National University of Singapore (NUS) Are you passionate about data science, machine learning, and artificial intelligence? Do you enjoy teaching and empowering others with valuable
-
frameworks for advanced property prediction and analysis of inorganic disordered materials. Carry out machine-learning based first-principle calculations aimed at advancing the understanding defect-based
-
methodologies to analyse multimodal data, enabling early detection and personalised interventions in clinical neuroscience. The candidate will take the lead on machine learning and computational analyses
-
by reporting officer Qualifications Education: - Doctoral degree in Computer Science, Biomedical Informatics, Data Science, Artificial Intelligence, Machine Learning, Educational Technology, or closely
-
related discipline. You must be a current machine learning, theory and atomistic simulations for material design. You must be an excellent communicator in English, both verbally and written. You must be