493 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at National University of Singapore
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
programming languages. Experience with CI/CD tools, containerization (Docker), and version control (Git). Problem-solver mindset — you enjoy building, debugging, and scaling complex systems. A strong learning
-
agencies. Qualifications • PhD in Robotics, Mechanical Engineering, Mechatronics, Computer Vision, or a closely related field. • Strong expertise in robot design and at least one of
-
Chinese dialects used in Singapore (e.g. Hokkien, Cantonese, Teochew or Hainanese); Malay or Tamil. Willingness to learn about and work with researchers using mixed methods; prior experience of working with
-
support covering academic matters, immersive learning, and career-related initiatives. • Analyse student data and feedback to support continuous programme improvement and inform management decisions
-
tunnel experiments is a plus • Experience in programming and AI/machine learning is a plus More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department
-
for SAF workforce, including but not limited to learning management system, courses and knowledge repository. • Plan and maintain a knowledge repository, including but not limited to common AI use cases
-
from the e-learning portal. ▪ Coordinate regular events to engage and support volunteers. Community Outreach ▪ Provide administrative support for various community outreach initiatives. ▪ Facilitate
-
to teach core courses and electives based on his/her specialization. All qualified individuals are encouraged to apply. To apply, please provide the required documents in pdf and indicate which position you
-
& responsibilities as assigned by SP Qualifications MSc or PhD, preferably in Computer Sciences, Bioinformatics, or Life Sciences, or related field of study. Candidates with equivalent experience may also apply Able
-
lessons learned and best practices. Technical Evaluation & Recommendation - Evaluate new and existing technology solutions, provide recommendations for adoption or enhancement, and support the