502 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at National University of Singapore
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
at its fingertips by enhancing the use of effective applications and services for teaching and learning. We drive a culture that is forward-looking. With a strong passion for IT, our people are always
-
the use of effective applications and services for teaching and learning. We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries
-
, Bioinformatics, Computational Biology, or other AI-related disciplines. Strong foundation in AI, statistical modeling, machine learning, or high-dimensional data analysis. Proficiency in programming languages
-
enablement Leverage data and emerging technology (e.g., Power BI, Robotic Process Automation (RPA), Artificial Intelligence/Machine Learning (AI/ML)) to solve challenges and innovate FSS operations Stakeholder
-
Building Science, Technology, and Sustainability. • Teach undergraduate and postgraduate courses related to building performance, building systems, and related topics in building science, technology, and
-
future business leaders. And we are looking to add to our BIZ family! To learn more about the NUS Business School, please visit https://bschool.nus.edu.sg/ Job Description Asset Management Routine-Based
-
these areas, please visit the SSHSPH Careers page at: https://sph.nus.edu.sg/about/careers/ Job Requirements A recognised Doctoral degree in a relevant discipline with a clearly established and coherent
-
international collaborators across clinical, academic, and industry settings to develop privacy-preserving machine learning approaches, federated learning frameworks, and interpretable algorithms for multimodal
-
methods for building and validating communication and/or information theory. Candidates must have experience with computational techniques using R or Python and the ability to teach courses in computational
-
the use of effective applications and services for teaching and learning. We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries