819 machine-learning-"https:"-"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
- Arts and Literature
- Materials Science
- Psychology
- Mathematics
- Philosophy
- Electrical Engineering
- Humanities
- Linguistics
- Social Sciences
- Environment
- Sports and Recreation
- Chemistry
- Law
- Design
- Earth Sciences
- Statistics
- 14 more »
- « less
-
adaptive decision systems. Contribute to research publications, technical reports, and open-source toolkits. Collaborate with faculty, postdoctoral researchers, and students on advanced 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
-
related to generative design. The key responsibilities include the following: To independently undertake research in machine learning. To publish high-quality research papers as required by the funding body
-
including functional enrichment (GO, KEGG), network analysis, genome assembly and binning, systems biology, and multi-omics integration. Apply statistical modelling, machine learning, and deep learning
-
, machine learning, and deep learning models. Key Responsibilities: Develop and apply time-series forecasting methods for semiconductor equipment health monitoring. Analyze equipment degradation data
-
Canvas LMS according to provided specifications and learning objectives. Perform quality checks on uploaded content to ensure accuracy, formatting consistency, and alignment with educational standards
-
through to deployment and documentation. Applied Machine Learning: Possess deep, practical knowledge of machine learning fundamentals, with proven experience applying algorithms to solve problems in areas
-
solutions from scoping and data analysis through to deployment and documentation. Applied Machine Learning: Possess deep, practical knowledge of machine learning fundamentals, with proven experience applying
-
adaptive decision systems. Contribute to research publications, technical reports, and open-source toolkits. Collaborate with faculty, postdoctoral researchers, and students on advanced machine learning
-
ability to deliver solutions from scoping and data analysis through to deployment and documentation. Applied Machine Learning: Possess deep, practical knowledge of machine learning fundamentals, with proven