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of Singapore (NUS) with the collection, analysis, visualization of data and presentation of analytical results for regular and ad-hoc reporting purposes to meet multiple information and strategic requirements
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Banking, Private Equity, Wealth Management, FinTech, Corporate Finance, and Corporate Commercial Banking. Develop and deliver multiple specialized cohorts focused on key industry certifications including
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++, and Python. Experience with software design, development, debugging, testing, and maintenance in Linux-based environments. Experience using version control systems such as Git and collaborative
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postdoctoral research positions within a multidisciplinary project supported by Schmidt Sciences under the VIEW programme. The project, in collaboration with Imperial College London, EPFL, and multiple partners
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solutions, model validation frameworks, and results optimizing database queries and pipeline performance integrating multiple data sources maintaining comprehensive technical documentation for data science
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ingestion and transformation pipelines Hands-on experience with SQL performance tuning, including: Query optimization, Indexes, views, and functions, & Performance monitoring Experience supporting multiple
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. Write programs in Python, STATA, R, and SAS for data preparation, standard analysis file creation, statistical analysis, and reporting, including programs requiring a complex combination of data from
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proficiency in statistical analysis and programming, with experience using multiple analytic tools (e.g., SAS, R, Python, SPSS) and developing reusable, well-documented code. Strong data science and management
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research data management, governance, and interoperable data systems, with a focus on supporting mission-driven science across multiple facilities and programs. The successful candidate will lead complex
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to develop and analyse regional and global scale hydrodynamic models at multiple spatial scales accounting for climate change and integrating these results with a new global agent-based decision-making model