829 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Cardiff-University" 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
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Nanyang Technological University;
- ;
- Lee Kuan Yew School of Public Policy
- Nature Careers
- 1 more »
- « less
-
Field
- Computer Science
- Economics
- Engineering
- Medical Sciences
- Business
- Education
- Science
- Arts and Literature
- Biology
- Materials Science
- Mathematics
- Philosophy
- Psychology
- Electrical Engineering
- Humanities
- Linguistics
- Social Sciences
- Environment
- Sports and Recreation
- Chemistry
- Law
- Design
- Earth Sciences
- Statistics
- 14 more »
- « less
-
-machine teaming. Moreover, the consequences of such digital transformation are explored in the context of workforce and labor developments, organisational innovation, and learning/education. About the
-
) is a vibrant "living-and-learning" community of around 650 NUS students, As part of their residency, sudents participate in a two-year academic programme that complements their majors by supporting
-
portfolio of AI/ML project(s) that showcases ability to deliver solutions from scoping and data analysis through to deployment and documentation. • Applied Machine Learning: Possess deep, practical knowledge
-
⦁ Deliver day-to-day technology and audio-visual support for a high-quality teaching and learning experience. ⦁ Deploy and support hybrid teaching technology (eg. Zoom) supporting either fully virtual
-
, clinical reasoning, and Team-Based Learning (TBL) facilitation in Phase I. The faculty member will also contribute to curriculum development through participation in curriculum mapping, review processes, and
-
student Graduate Assistantship Programme (GAP) hours and seminar attendance. This role is integral to ensuring efficient academic administration and enriching students’ learning experiences throughout
-
and intelligent networked systems, including theoretical and system-level research Demonstrated capability in advanced communication technologies, antenna systems, and machine learning–enabled methods
-
the educational mission of the Department of Biomedical Engineering (BME), specifically in the areas of graduate studies (lifelong learning programmes and graduate research programmes) as well as certain areas
-
to perform the following responsibilities: • Advance NUS Libraries’ Special Collections by improving discovery, access and use of rare and archival materials to support teaching, learning and research
-
industry to enhance student learning, employability and programme relevance. The key responsibilities include (but not limited to): Overseas Immersion Programmes: Collate budget for each overseas course in