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, applied mathematics, or a closely related field Strong background in fluid mechanics, heat transfer, and numerical methods Practical experience in CFD; experience with OpenFOAM is considered a strong
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are computationally prohibitive, which limits their applicability to a restricted set of parameters and configurations. In this project, we aim to develop novel analytical and reduced-order numerical methods
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with open source software frameworks and/or using modern open source code development methodology is highly desirable, as is experience with numerical methods pertaining to fluid dynamics or plasma
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FieldEngineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Desired profile Holding a Master of Science degree in Mechanics, the candidate has solid skills in numerical mechanics, numerical methods, and
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and microstructure-based modeling Experience with numerical methods for PDEs Programming skills in Python (knowledge of C++, Fortran or HPC is a plus) Scientific curiosity and critical thinking Ability
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shaping will be central to the study. The numerical model will be based on the boundary element method (BEM) and semi-analytical approaches developed at I2M. The experimental proof-of-concept will leverage
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Computational and Theoretical Condensed Matter Physics in the Department of Physics (Ref.: 534748). Applicants should possess a Ph.D. degree in Condensed Matter Physics. Experience in numerical techniques and
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method based on large-scale and laboratory-scale experiments supported by numerical modelling to: Better understand the fire behaviour of the new façade system, to propose fire safe constructions and to
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implemented using a lens doublet that introduces a tunable radial delay. A more advanced, programmable method would be to use a large-aperture spatial light modulator (SLM) to impose tailored spectral phase and
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at understanding the interplay between the above physical effects on the microstructure evolution of Al alloys during additive manufacturing using the phase-field method. The PhD student will use an in-house phase