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particle models, stochastic PDE and models from fluid dynamics and machine learning. What skills are important in this role? Qualification requirements: The Faculty of Mathematics and Natural Sciences has a
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, number theory, representation theory, invariant theory, dynamical systems, free probability, partial differential equations, and mathematical physics. In statistics, these include biostatistics, optimal
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centers: the Anatole Katok Center for Dynamical Systems and Geometry, the Center for Computational Mathematics and Applications, the Center for Mathematical Biology, and the William G. Pritchard Fluids
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guidelines for weight. Adherence to Airlift Northwest dress code. Adherence to all Airlift Northwest policies and procedures. Airlift Northwest is a dynamic flight program which may, in the future, choose to
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, cabin checklists, debriefings and other procedures. Acquires extensive working knowledge of policies, procedures and protocols related to the Airlift Northwest program. Acquire and maintain a strong
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of partial differential equations (PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. What skills are important in
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the implementation of NIE’s Automation Empowerment Programme, a flagship initiative under the Technology Roadmap for the Future of Education (TRFE) (https://www.ntu.edu.sg/nie/about-us/nie2025-strategic-vision/TRFE
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. Preferential factors: • Education or training in reaction engineering, microfluidics, microbiology, fluid dynamics, image analysis, or machine learning (where applicable to the specific PhD project); • Fluent
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designing against diffuse pollution. Typically, these processes are studied by laboratory experiments and/or computational fluid dynamics (CFD) approaches, often limited to an idealised patch of stems where a
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and evaluation of the RFBs with optimized hierarchical electrodes. Research environment The PhD position will be open at the Fluid Dynamic division of the Mechanical and Maritime Science department