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of machine learning interpretability solutions in production. Key Responsibilities: Implement machine learning interpretability tools and pipeline to be included in the future machine learning interpretability
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and engineering in the context of Singapore’s coast to build strong features that can be used to predict occurrences of storm surges Implement and test different machine-learning models to evaluate
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Job Description Research Fellow in Infectious Disease Modelling and Machine Learning for Public Health The National University of Singapore's Saw Swee School of Public Health (NUS) seeks a dedicated
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/or machine learning interpretability. Key Responsibilities: Conduct research on cryptography and/or machine learning interpretability Prepare reports and presentations for the project Publish relevant
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on cryptography and/or machine learning. Job Description: Conduct research on cryptography and/or machine learning Help prepare reports and presentations for the project Publish relevant results to cryptography and
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language processing (NLP), and multimodal learning (ML). Critically evaluate existing literature and propose new ideas under supervision Write papers and present the research work to a wide audience Job Requirements
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the project by: analyzing data on the key protein properties generated by our experimental team, using data analytics or machine learning techniques, linking protein sequences, mass spectrometry data and
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that are relevant to industry demands while working on research projects in SIT. The Candidate will be working on a sustainability and AI project, coupling physics-based models and data driven machine learning
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the financial sector and the economy at large. This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and
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-of-the-art research in machine learning and big data for collaborative machine learning. Responsibilities: Design and write robust, readable, and reusable code components and applications to implement state