663 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Nanyang Technological University in Singapore
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Engineering
- Economics
- Materials Science
- Medical Sciences
- Business
- Education
- Biology
- Science
- Mathematics
- Chemistry
- Environment
- Arts and Literature
- Electrical Engineering
- Psychology
- Social Sciences
- Earth Sciences
- Linguistics
- Philosophy
- Sports and Recreation
- Physics
- Humanities
- Statistics
- 13 more »
- « less
-
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
-
work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https://www.ntu.edu.sg/cee We are looking for a Research Engineer I to join
-
and professional growth. Please refer to https://www.ntu.edu.sg/nie/ for more information on NIE courses/programmes. Requirements A Master’s degree, preferably in Counselling and Guidance or Applied
-
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
-
(ALC) Department. Job Description Part-Time Lecturers are engaged for teaching duties such as conducting lectures, tutorials and practicum supervision. Please refer to https://www.ntu.edu.sg/nie
-
fields. You will be an integral member of an inter-disciplinary Science of Learning research team in developing brain-based machine-learning predictive models for early identification of mathematical
-
Learning research team in developing brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary level students
-
Science of Learning research team in developing brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary level students
-
Science of Learning research team in developing brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary level students
-
developers, and AI researchers to translate findings into operational use cases. Prepare data collection frameworks and work on fish health monitoring datasets for machine learning training and benchmarking