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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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to develop novel numerical methods that allow us to overcome the curse of dimensionality in the simulation of fusion energy systems. The curse of dimensionality refers to the fact that traditional
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, Experience with modelling and simulation of vibrations using numerical methods, NASTRAN, ANSYS, Kistler table, MATLAB, Simulink Additional Information Eligibility criteria Mandatory: *An undergraduate degree
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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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fractions of organic matter (OM), using physical or biochemical methods to fractionate the OM. Colloidal OM contained in PROs could facilitate the transport of certain PFAS after the application of OWP, a
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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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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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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