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Location_ONB: Kent Ridge Campus Posting Start Date: 08/06/2026 Job Description The successful candidate will work with Asst. Prof. Julian Sester on developing mathematical methods for Distributionally
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artificial intelligence can support the development and use of computer algebra systems, including mathematical programming, software verification and testing, documentation, and new ways for researchers to
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mathematical programming, software verification and testing, documentation, and new ways for researchers to interact with computational mathematics software compile data sets relevant to research in
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advanced mathematical tools and techniques to applications including robotics Good written and oral communication skills Experience in the use of programming languages and interest in the implementation
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systems, including mathematical programming, software verification and testing, documentation, and new ways for researchers to interact with computational mathematics software compile data sets
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The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore is a school dedicated to advancing research and education across the mathematical and physical sciences. It hosts activities
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develop statistical, mathematical, causal-inference, simulation, and machine-learning methods using large-scale flight trajectory and operational datasets. Research may cover airport surface congestion
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, Engineering, Computer Science, or related field. Programming experience in Python, Matlab, and SQL. Mathematical modeling and data analysis. Machine/Deep learning (e.g. Pytorch, TensorFlow, JAX). City of
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administrative work Excellent presentation and communication skills Desirable criteria Having a research programme in probability Familiarity with computational mathematics or mathematical programming (e.g
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developing, analysing and implementing mathematical or computational algorithms. Strong scientific programming skills. Evidence of the ability to conduct research independently and to identify and address