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energy, CO2 storage, or hydrogen storage. Demonstrable experience in simulating and analysing coupled multi-physics processes (e.g., heat and fluid flow, chemical reactions and fluid flow) related to low
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characterisation and solution composition modelling will contribute to the efforts of our cross disciplinary team, for whom the aim is to understand solid-fluid (water and gas) interactions of natural materials and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
: Familiarity with ice-ocean interaction physics or polar oceanography. Experience with high-performance computing, GPU-accelerated models (e.g., Oceananigans.jl), or advanced flow measurement techniques (e.g
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developing the technical basis for the first fusion nuclear facility and the position will involve several disciplines, with an intended focus on design, analysis, and optimization of fluid flows in tritium
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of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 2 years. Starting date is 1 February 2026 or according to mutual agreement. The position is a
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applicant must have a high level of hand-on experience in CFD, specifically in modeling of turbulent and multiphase flows, and be able to model and analyse thermodynamic cycles. In addition, the selected
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08.09.2025, Wissenschaftliches Personal with a strong connection to partial differential equations (numerics / analysis / modeling) (100%, TV-L) is available starting immediately. The position in
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applicant must have a high level of hand-on experience in CFD, specifically in modeling of turbulent and multiphase flows, and be able to model and analyse thermodynamic cycles. In addition, the selected
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experience in reservoir simulation and coupled geomechanical modeling. • Experience with CO₂ storage, CCUS, or subsurface fluid flow modeling. Desirable Education and/or Experience • Experience with NRAP tools
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equations, essential for modeling fluid dynamics and geochemical processes in river-lake systems. Extensive knowledge of river topology, including understanding of riverine structures, branching patterns, and