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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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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
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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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The Royal Veterinary College, University of London; | Potters Bar, England | United Kingdom | about 2 months ago
). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural dynamics simulations to recover dynamic strain and flow fields
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to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
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, Mechanical Engineering, Chemical Engineering, Environmental Engineering, or a related field. We seek candidates with strong expertise in thermo-fluid engineering, thermodynamic modelling, and optimization