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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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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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, using e.g. DFT or the finite element method (FEM) calculate the quantum dynamics of an emitter coupled to phonons with an open-quantum-system approach and using state-of-the-art numerical techniques
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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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media where the large proportion of interfaces and the finite amount of matter lead to remarkable properties. The systems studied share the common feature of exhibiting heterogeneities at the nanometric
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Fellowships Training in joining dissimilar materials using the Friction Stir Welding process and experience in numerical simulations using Finite Elements; to hold a PhD degree obtained in the 3 years
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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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to: i) lead the design and creation of an experimental setup to examine fluid-structure interactions between 3D-printed models of deep sea sponges and ii) lead the formulation and analysis of finite
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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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tasked with developing and implementing new efficient numerical methods for high-frequency wave propagation problems in the finite element open-source software FreeFEM developed at Laboratoire Jacques