63 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" Fellowship positions at National University of Singapore
Sort by
Refine Your Search
-
Job Description Job Alerts Link Apply now Job Title: Research Analyst/ Associate/ Fellow in Machine Learning and Artificial Intelligence (ML/AI) Posting Start Date: 12/09/2025 Job Description: The
-
students, it offers a friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description Conduct theoretical research in quantum information and quantum foundations
-
, 102: 14623-14688, 2005. (https://doi.org/10.1073/pnas.0503524102) 2. N.Y. Fu et al., Inhibition of ubiquitin-mediated degradation of MOAP-1 by apoptotic stimuli promotes Bax function in mitochondria
-
). Applying advanced statistical and machine learning methods (e.g., predictive modelling, clustering, multivariate integration) to large-scale time series and sensor datasets. Contributing to the development
-
friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description A postdoctoral research fellow position on the topic of quantum error correction is available in
-
international work environment Learn more about CQT at https://www.cqt.sg/ Job Description We have openings for talented early-career scientists who are ready to take up a leadership role in our group and to
-
international collaborators across clinical, academic, and industry settings to develop privacy-preserving machine learning approaches, federated learning frameworks, and interpretable algorithms for multimodal
-
group @ NUS (https://engbio.syncti.org ) specializes in Synthetic Biology in which we engineer microbes with useful capabilities for medical and industrial applications and we are part of SynCTI at NUS
-
context. • Conduct statistical analyses, longitudinal modelling, or machine learning approaches as appropriate. • Develop documentation, codebooks, or tools to support reproducible research. • Lead
-
Engineering, College of Design and Engineering (CDE)(https://cde.nus.edu.sg/cee/staff/ong-ghim-ping-raymond/) in fundamental and translational research in the development of new asphalt pavement design