Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
under the project Principal Investigator (PI), CRiHSP Director, Prof Jose M Valderas. The role provides a rare opportunity to work at the centre of this rapidly evolving field, shaping the future
-
and will provide chances to collaborate with researchers at both national and international institutes. Please contact Assistant Prof. Xiangzhong (Remi) Luo (xzluo.remi@nus.edu.sg ) with any questions
-
the position is filled. For further enquiries, please contact Dr Sarah Tan at sarah.tan@nus.edu.sg or A/Prof Falk Mueller-Riemenschneider at falk.m-r@nus.edu.sg. We regret that only shortlisted candidates will
-
Health-Driven Design for Cities (HD4) study. Jointly led by Prof Nick Wareham at University of Cambridge and Prof John Chambers at NTU LKCMedicine, HD4 is a large-scale population study aiming to develop
-
Materials, Bioinspired Materials and Sustainable Materials. In MSE, Prof. Li Shuzhou is interested in exploring cutting-edge scientific opportunities in computational and theoretical material modelling
-
: The successful applicant will be responsible for: Obtaining rigorous mathematical results at the interface of optimization, geometry, and data science Designing, implementing, and testing algorithms Engaging in
-
Responsibilities: Undertake research on algorithms and data systems for next-generation data preparation and data cleaning for data analytics. Produce research papers, reports, and presentations as required by
-
Responsibilities: Conduct research on the design and analysis of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop algorithms and prototypes
-
algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
-
computer programming to verify the efficiency of the designed solution algorithms Analyze data acquired from the field survey Develop machine learning models for prediction and recommendation Job