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Field
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experience with HHG sources are a plus but not critical. Knowledge of programing languages such as Python (and with finite element simulations specifically) would be also valuable.
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demonstrated ability to communicate and interact with a diverse range of stakeholders and students. Demonstrated knowledge in Quasi-Monte Carlo methods and/or finite element analysis and/or machine learning is
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experience · Be a proficient programmer, including in Python, with good coding habits; experience in NEURON, COMSOL, other finite element modeling software, and / or git would be an asset; experience
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. Assets (Nonessential): Experience with FEA (Finite Element Analysis) and CFD (Computational Fluid Dynamics). Excellent skills with Solidworks, Inventor, and/or Siemens NX, or other solid modelling software
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standards. Working knowledge of structural finite element modeling programs (STADD, GT STRUDL, etc.) Familiar with the following DOE order and standards: DOE O 420.1C – Facility Safety DOE-STD-1020 – Natural
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implications of this damage for the subsurface flow of fluids and the transport of radionuclides. The work will make extensive use of the Imperial College Geomechanics Toolkit (ICGT), a finite-element based
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, engineering, materials science, maths, or computer science), or equivalent experience Experience with uncertainty quantification or error analysis Familiarity with numerical methods (e.g., Monte Carlo, Finite
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relevant data generation, analysis, and pre-/post-processing. Knowledge of principles and techniques in computational mechanics and mechanics of materials, with a focus on finite element analysis of large
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) experience and demonstrated proficiency (SolidWorks preferred). Finite-element analysis (FEA) experience and demonstrated proficiency (e.g., Ansys or equivalent). Gas dynamical modeling expertise (e.g., using
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fields: Mechanical product development Integration of Computer Aided Design and Computer Aided Manufacturing in product development Finite Element Analysis of mechanical structures including joints and