Research Assistant (Sparse Boosting and Spatial Data Analytics)
NTU Main Campus, Singapore
SGD 60K-108K (estimate) Mid-level Full Time
Tasks
- Apply methods to real-world datasets
- Collaborate with research partners and support milestones and reporting
- Conduct simulation studies and benchmarking
- Develop sparse boosting methods
- Optimize computational performance
- Prepare reproducible research outputs
Perks/Benefits
- N/A
Skills/Tech-stack
Data Analysis | High Dimensional Data | High-Dimensional Data Analysis | Machine Learning | Python | R | Statistical Modelling
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science
Roles
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