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Field
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skills, both verbal and written, are required. Key duties: Successful candidate is expected to: Setup, validation, and evaluation of Computational Fluid Dynamic (CFD) models for the elucidation
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/ Python and various CFD software to develop fuel cells and engine models for powertrains and propulsion systems within the transportation and energy sectors. Skills Demonstrable ability to work
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related field Excellent reacting flow multi-physics computation experience in high-performance computing (HPC) environments Experience in computational fluid dynamics (CFD) codes and modeling Ability
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real-world impact across three of Sweden’s flagship HPC codes: GROMACS (one of the world's most widely used molecular dynamics packages), Neko (a highly scalable CFD framework nominated for the ACM
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high-performance computing (HPC) environments Experience in computational fluid dynamics (CFD) codes and modeling Ability to present and publish results in peer-reviewed journal articles Preferred
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to: Setup, validation, and evaluation of Computational Fluid Dynamic (CFD) models for the elucidation of bioreactor heterogeneities and performances Development and application of modelling/simulation
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research activities including laboratory experiments, numerical modelling (FEM/CFD), and development of AI models to optimise drilling processes. Translate research into outcomes by building prototypes
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). Reactor design (based on CFD modelling), and performance improvements by post-plasma quenching, heat recovery and other downstream processes or combination with catalysts. Computational fluid dynamics
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, calibration, and application. Experience with computational methods including steady-state modeling, dynamic simulation, computational fluid dynamics (CFD) to support system design and performance optimization
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develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running