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Field
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with at least 3 years of research experience in a field related to numerical fluid mechanics, scientific computing, or model-order reduction, who is willing to engage in innovative and interdisciplinary
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the supervision of Dr. Joseph Kwon. We’re seeking a creative Postdoctoral Scholar to join our team and advance cutting-edge multiscale and hybrid modeling—integrating first-principles simulations with
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models for compressible hypersonic flows; implementing new models and numerical schemes into larger, existing hypersonic CFD codebases; performing verification & validation studies for the new models
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: PhD in nuclear engineering, applied physics, computational science, or a closely related field; demonstrated experience in Multiphysics modelling, numerical methods for PDEs, and code verification and
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related field is required, along with a solid understanding of Geophysical Fluid Dynamics. ABD will be considered in a related field. Preferred Qualifications: Experience in numerical ocean modeling is
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. Essential Functions Develop transient physicochemical macroscopic-scale models for in-vitro mRNA transcription processes. Derive model equations and numerically solve systems of differential equations
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these nanocomposites, we are looking for a postdoc to further develop high performance computing numerical methods in our state-of-the-art open source micromagnetic model, MagTense. MagTense is based on a core
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with experts in material science, numerical modelling and laser physics, enabling you to integrate diverse expertise into robust control frameworks. This collaboration provides a unique opportunity to
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theoretical models and methods as well as in implementing numerical optimization techniques Interest in working closely with experimentalists Detailed knowledge of quantum physics and experience with quantum
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publications) • Experience with numerical simulations and/or geochemical modelling software • Advanced knowledge of isotope geochemistry and/or related field • High proficiency in English (C2 equivalence, both