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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 14 days ago
Modelling. Your tasks # Development and implementation of numerical and algorithmic methods for the simulation of fluid-dynamical or environmental systems # Research on quantum and hybrid quantum–classical
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 12 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09839 Requirements Skills/Qualifications Strong mathematical background. Knowledge in numerical optimization is a plus. Good programming skills in
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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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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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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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regimes. This PhD project aims to develop predictive pore network models integrated with thermodynamics and upscaling methods toward reservoir-scale applications. We seek candidates with a strong background
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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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the enhancement of the efficiency or figure of merit of the stacks. Moreover, (ii) by using and combining various experimental techniques and methods available at the laboratory (harmonic Hall, spin pumping, FMR
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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