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Field
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, primarily because modelling the unsteady aerodynamic effects can be computationally prohibitive. Consequently, many conventional wing aerostructural design frameworks rely only on static aeroelastic metrics
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interdisciplinary collaboration. This PhD project is focused on numerical simulation of resistance spot welding with existing electro-thermo-mechanical finite element modeling as a foundation. Computational fluid
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) invites applications for a fully funded 4-year PhD program in Process Systems Engineering. The project aims at integrating data-driven optimisation and design of experiments techniques with model-based
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study the transformation of initially spherical liquid droplets under the effect of radiation stresses, or “radiation pressure,” from ultrasonic waves (MHz) using both theoretical and numerical models
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carbon cycling, with a focus on boreal forest ecosystems Experience with data processing software for eddy-covariance data (EddyPro, REddyProc) Excellent numeric and analytical problem-solving skills
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in conjunction with the industry partner, this PhD project aims to develop a reliable numerical modelling framework capable of: (i) simulating coupled heat and fluid flow within deep geothermal
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of strong quantitative skills and interest in computational modelling. Basic programming/scripting ability (e.g., Python, MATLAB, Julia, C/C++) and confidence working with numerical tools. Desirable
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experience or knowledge in one or more of the following areas are also a merit: Space physics Plasma physics Computational physics Applied mathematics and modelling Numerical methods for partial differential
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contribute? · Contribute to ESRIC’s research on the development of technology for lunar and Martian regolith handling and beneficiation. · Develop and apply modelling and simulation approaches
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application of numerical models Assess uncertainties for future sea-level projections Publish results in international peer-reviewed journals Present findings at national and international conferences