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://www.ctcms.nist.gov/oof/ . Opportunities exist in image analysis, materials science, physics, and computer science. key words Computation; Finite element modeling; Microstructures; Eligibility citizenship Open to U.S
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24 months, expiration date 16th april 2026 at 1:00 pm Where to apply Website http://www.unipi.it Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows
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QUALIFICATIONS: • PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field. • Demonstrated expertise in MEMS/NEMS design and modeling, including finite element
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Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field. Proficiency in hydrodynamic modeling tools (e.g., WAMIT, ANSYS AQWA, OrcaFlex) and finite element analysis
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acquisition, instrumentation and monitoring during laboratory testing Perform numerical modelling and simulation, such as finite element modelling, parametric studies, and calibration against test data. Analyse
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in nonlinear continuum mechanics, constitutive modeling, soft tissue modelling or finite element analysis and a passion for advancing the understanding of brain injury? Then this could be a position
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of their operating conditions make it challenging to predict component health under poorly represented or previously untested conditions. Modern prognostics approaches rely either on physics-based models or on data
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-destructive testing (NDT) techniques for structural materials is desirable. Experience with structural modelling and analysis tools (e.g., finite element modelling, structural simulation) is desirable. Good
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. The post holder will contribute to the development and validation of multi-scale finite-element analysis tools to predict the progressive damage evolution in composite materials, subject to a variety of
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AQWA or equivalent) and finite element analysis software (e.g., Abaqus, ANSYS). Experience with stability. Experience in designing connectors or mechanical interfaces is a plus. Familiarity with 3D