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scales through advanced numerical modeling. Our research foci are located at both plate boundaries and within the plate interiors, inside the deep mantle and at the surface. To approach our aims, we
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activity will focus on the development and application of numerical methods for thermal-hydraulic analysis at both the system and component levels. The work will involve analyzing operating, transient, and
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, developing complex numerical models and validating them against datasets generated by collaborators. The candidate will use surrogate modelling and data-centric approaches to complement simulations
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1. A Ph.D. degree in Aerospace Engineering, Fluid Mechanics, Applied Mathematics, or a related discipline. 2. Demonstrated expertise in turbulence modelling and compressible
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challenging, especially in dunes with complex topography. Your job In this 2-year postdoc position, you will use numerical modelling and machine learning techniques to increase the accuracy of coastal dune
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design. The role will combine experimental plasma science with numerical modelling to understand and improve nitrogen fixation pathways, alongside the use of analytical chemistry methods to quantify
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convective hazards. The model development will be aided by synthesizing observational data and high-resolution numerical simulations to gain new conceptual insights on cloud life cycles. Potential
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, financial modeling, and accounting principles; excellent written and oral communication skills; ability to deal with confidential information using discretion and judgment, multitask, prioritize, work with
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on the numerical and mathematical modelling of these complex atmospheric phenomena. This is a multifaceted research role that draws on mathematical modelling, high-fidelity numerical simulation, and close
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 13 days ago
of meteorites as well as numerical modeling on state-of-the-art supercomputers. We invite applications for two Postdoctoral Positions (f/m/d) on SO/PHI data reduction and exploitation. The solar department