861 machine-learning-"https:"-"https:"-"https:"-"https:"-"RAEGE-Az" 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)
- ;
- Lee Kuan Yew School of Public Policy
- Nanyang Technological University;
- Nature Careers
- 1 more »
- « less
-
Field
- Computer Science
- Economics
- Engineering
- Medical Sciences
- Business
- Education
- Science
- Biology
- Arts and Literature
- Materials Science
- Psychology
- Mathematics
- Philosophy
- Social Sciences
- Electrical Engineering
- Humanities
- Environment
- Linguistics
- Sports and Recreation
- Chemistry
- Law
- Design
- Statistics
- 13 more »
- « less
-
professors and other FTTAs to achieve teaching and learning goals of the module. The FTTA must be familiar with administration and data management, be digitally competent, be consultative with peers and quick
-
of being An Institute of Distinction: Leading the Future of Education, and our mission to Inspire Learning, Transform Teaching and Advance Research. Read more about NIE here . NIE invites suitable
-
to the Head, Undergraduate, the candidate will play a critical role in shaping undergraduate learning. The candidate will be responsible for developing and implementing academic strategies, initiatives and
-
applications. Define and maintain adequate security and data protection policies. Qualifications Bachelor’s Degree Computer Science, Computer Engineering, or related discipline involving web application
-
office responsible for securing philanthropic contributions for the University. We are seeking a donor relations executive who has interest in learning about philanthropic work in a higher-education
-
Master’s degree in the Social Sciences. Competencies • Willingness to learn about and work with researchers using mixed methods; prior experience of working with mixed methods will be an advantage
-
learning opportunities, which includes student-led activities, leadership development initiatives, residential hall programmes, integration efforts, community engagement initiatives, as well as arts and
-
be a part of our collaborative and multi-disciplined team. Together we will learn, grow and make new discoveries of how the brain works. Come and join us. Key Responsibilities: Plan and execute
-
administrative software and tools (e.g. Microsoft 365 (Teams/SharePoint/Excel)), with a willingness to learn and adopt new technologies as needed. • Strong communication and interpersonal skills, able
-
on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in graph-based prediction. What we’re looking for: A PhD in Electrical and Computer Engineering or a