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, particularly for high temperature components. Experience with the MOOSE finite element simulation framework. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term) Time
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, suitable for deployment on ARSPECTRA devices. You will work at the interface between finite-element modelling, software engineering and embedded/edge computing. Key Responasbilities: Develop and optimise
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(photolithography, metal evaporation, etching) Experience with packaging schemes such as flip-chip bonding, anisotropic conductive film bonding and wire bonding Finite element Method (FEM) simulations (MEMS, Electro
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Technology. Additional Actions : Composite Materials, Finite Element Modelling (FEM), Impact Engineering, High-Rate Experimental Mechanics, AI Assisted Surrogate Modelling
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computational physics, computational materials, and machine learning and artificial intelligence, using the DOE’s leadership class computing facilities. This position will utilize methods such as finite elements
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/DPhil (or near completion) in Engineering, Materials Science, Physics, or a related field Strong expertise in composite materials, their deformation and failure, and finite element modelling for impact
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mechanics, FEA, CFD, or equivalent field. Proficiency in one or multiple finite element analysis software (e.g., ABAQUS, LS-Dyna, ANSYS), and in computational fluid dynamic software (e.g., Fluent, CFX
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Linear and nonlinear photonic device testing Finite element analysis (FEA) Micro‑ and nano‑fabrication Knowledge in quantum optics/physics is a strong plus Qualifications: PhD required A combination of
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computational fluid dynamics (CFD), cardiovascular modeling, or biomechanical growth and remodeling. Demonstrated experience with numerical methods (e.g., finite element method), programming languages (C
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics