429 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs in Singapore
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
-
Field
-
to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research
-
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our
-
clean-up and/or analysis, amongst others. The work is part of a very busy, fast-paced clinical environment, akin to polyclinics or hospitals. For further details, please visit our study website: https
-
(Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP
-
The National Institute of Education invites suitable applications for the position of Research Assistant on a 24-month contract at the Science of Learning in Education Centre . Project Title
-
execution and milestone completion. Job Requirements Strong background in AI/NLP or speech technologies, with experience in designing and implementing machine learning models. Proficient in software
-
position within a Research Infrastructure? No Offer Description Introduction As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the
-
teamwork and verbal, written communication skills In-depth knowledge of computer vision and deep learning Demonstrated capability to conduct innovative research We regret that only shortlisted candidates
-
Job Description Job Alerts Link Apply now Job Title: Research Assistant (Department of Geography) Posting Start Date: 08/09/2025 Job Description: Job Description Our GeoSpatialX lab (https
-
programming skills in Python and familiarity with AI/ML frameworks. Good understanding of LLM architectures, transformer models, and machine learning fundamentals. Experience with model serving / inference