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Field
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qualifications include experience in one or more of the following areas: Indoor air quality measurements and analysis Synthesis and characterization of smart materials Numerical simulations (e.g., Computational
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models or forecasting and econometric analysis Proficiency in one of the major programming languages such as Python A collaborative team player with a desire to make a personal impact within our
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related field. Interest in energy markets, digital technologies, policy analysis, or regulatory frameworks. Strong quantitative and qualitative analytical skills. Proficiency in statistical software such as
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Israel Institute of Technology, Nanjing University, and UC Irvine. Service-Oriented Systems Engineering Research School Design and implementation of service-oriented architectures impose numerous research
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analysis. They will also be equipped to conduct independent, complex experimental/numerical research projects. Entry Requirements A very good undergraduate degree (at least a UK 2:1 honours degree, or its
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Mechatronics/ Robotics/ Mechanical/ Computer Science or related scientific discipline. Outstanding analytical and numerical skills, with a well-rounded academic background. Demonstrated ability to develop
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cyclic loading, varied surface conditions, and exposure to gaseous impurities, and advanced numerical modelling (Finite Element Analysis), this project aims to significantly enhance our understanding
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technology, project management, scientific writing, and presentation and other skills. Space missions and ground-based instruments, data analysis as well as theoretical and numerical modelling provide
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an overview of your experience with molecular dynamics, density-functional-theory, machine learning, coding skills, theoretical solid mechanics, numerical analysis. The official transcripts of your BSc and MSc
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Supervisory Team: Prof Neil Sandham PhD Supervisor: Neil Sandham Project description: This project is focused on scale-resolving simulations (large-eddy and direct numerical simulation) combined