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Field
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through development of data and information science, advancing innovative computing paradigms and developing new contextual learning algorithms and methodologies that can transform society. SDSC will serve
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and confidence as they digitalize. For more details, please view https://www.ntu.edu.sg/dtc We are looking for a Research Engineer to develop, implement, and oversee techniques and systems in Trust
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courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek experienced bioinformatics, biotech, and data science
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research, creation of algorithms and designs, statistical analysis, study protocols, data system development or other data collecting and gathering methodologies. The Assistant Research Professor may serve
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. The focus will be on deriving efficient algorithms with provable statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, approximation theory etc
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At the Digital Twin Innovation Hub, we are developing infrastructure for the construction, simulation, analysis, and visualization of a human immune system model that represents the majority of immune cell
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at prediction and pattern recognition tasks but still fails at very simple planning and decision-making problems. This project will develop predictive and prescriptive analytics algorithms that combine
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; recommendation systems; conversational systems; Computational social sciences, e.g.: analytics and modeling of political behavior; computational analysis of social networks; algorithms and social media analytics
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for recognition of planetary materials from multispectral datasets. Interns are sought to contribute to the ongoing development of Machine Learning algorithms for recognition of planetary materials from
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, and explainability; developing unbiased algorithms and responsible data use; addressing the social impacts of AI and IT-induced biases; equitable compensation policies; combating labour discrimination