391 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Nanyang Technological University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Economics
- Engineering
- Business
- Education
- Medical Sciences
- Science
- Materials Science
- Biology
- Mathematics
- Arts and Literature
- Psychology
- Electrical Engineering
- Environment
- Philosophy
- Sports and Recreation
- Social Sciences
- Chemistry
- Earth Sciences
- Linguistics
- Statistics
- 11 more »
- « less
-
computer vision and machine learning. To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community. To provide guidance and support to
-
vision by designing, developing, and optimizing robust distributed learning frameworks and deep learning models for visual recognition and person re-identification. Key Responsibilities: Design and conduct
-
innovation. The Platforms Engineering Group builds and operates the infrastructure and systems that enable AI practitioners across AISG's programmes to develop, train, and deploy machine learning models
-
implementation of data-driven computer vision and machine learning models using sensor data, camera feedback, and process parameters for print and tool path planning and process optimisation. Deploy real-time
-
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
-
, machine learning, and deep learning models. Key Responsibilities: Develop and apply time-series forecasting methods for semiconductor equipment health monitoring. Analyze equipment degradation data
-
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
-
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