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of numerical methods for solving nonlinear systems of partial differential equations (e.g., finite volume method, finite element method) Experience with open-source CFD software such as OpenFOAM, PFLOTRAN
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commissioning of experimental hardware Running and processing concept geometries Comparison with CFD or other low-order design methods Determining underlying three-dimensional flow mechanisms Writing research
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/simulation/optimization) Build prototypes and research software (clean, reproducible, well-documented) Work with simulation pipelines (e.g., FEM/CFD/physics engines) and industrial data Collaborate with
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that can inform future CFD studies, experimental work, and clinical interpretation. The PhD candidate will be supported by an interdisciplinary supervisory and research team with expertise spanning
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be compared and calibrated. In-silico technique based on Computational Fluid Dynamics (CFD) will also be developed to provide further information necessary for the development of new MRI image scanning
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Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 8 May 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract To be defined Job Status Full-time Is the job funded through
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dynamics (CFD) will be developed and coupled with the existing model to account for melt pool dynamics to include advection in the thermal modeling and to predict porosities and imperfection trajectories in
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studentships are available. You will develop expertise in cutting-edge laser diagnostics or direct numerical simulation (CFD) for turbulence research. You will become expert in turbulent flow physics and will
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for PhD students and postdocs. Learn more at https://www.muoniverse.ch/ . Muoniverse positions often serve as bridges between individual research groups and institutions, supported through dedicated
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method