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Field
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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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good understanding of the relevant basic theory, skills in data analysis and numerical modelling, and a strong research track record. Please direct enquiries about the role to: Only applications received
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 13 days ago
: 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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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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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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commercial risks to unlock these resources for broader markets. It will combine empirical field studies, numerical and analogue modelling and computational approaches to drive a step change in our ability
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, advanced imaging techniques and numerical modelling. About the role A successful candidate will be working on the EPSRC funded project New perspectives in photocatalysis and near-surface chemistry: catalysis
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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 3 hours ago
are abundant, diverse, and active members of the human and ruminant gut microbiome where they maintain numerous syntrophic relationships with both their host and resident bacteria. However, the mechanistic
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with numerical modeling codes such as ASPECT or Underworld Geodynamics (UWG). Preferred Qualifications: Familiarity with landscape evolution modeling tools like Fastscape or BADLANDS is highly desirable