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Field
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, Applied Mathematics, Computer Science, or a closely related field. • Candidates in the final stages of their PhD studies may also be considered. Skills: • Strong technical background in probability
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About the Role We are looking for an enthusiastic researcher to develop advanced modelling and optimisation methods to support the transition towards lower-carbon, more efficient and resilient transport
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Degree in engineering, computer science, physics, mathematics, statistics or related quantitative discipline (UK 2:1 or equivalent). Working understanding of modelling, machine learning techniques and
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The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and
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& optimization modelling, and data-driven assessment of compliance pathways, fuel transition, and strategic implications for shipping and maritime ecosystem. Key Responsibilities Conduct quantitative and scenario
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. Knowledge of fluid mechanics, computational mechanics, mathematical modelling, numerical methods, or medical image analysis is considered an advantage. Experience with experimental fluid mechanics, laboratory
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of PhD submission. Strong scientific programming skills in Python. Knowledge of mathematical models of biological systems and numerical methods for differential equations. Experience developing and
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genomics with advanced computational and AI approaches to develop biologically interpretable clinical models. The study has two complementary aims: Multi-omics discovery in solid tumors - Discover disease
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related areas. Develop new theoretical models, methodologies, and algorithms. Publish research outcomes in leading peer-reviewed journals and conferences. Prepare grant applications, technical reports, and
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that obtain both good utility and protection of privacy, through tailored model approximation, as well as new measures of privacy and fairness to be used for assessing properties of synthetic generators, or in