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good research practices Basic proficiency in data analysis or computational tools relevant to the project Preferred Qualifications: Experience with finite element methods, molecular biology techniques
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codes, finite element or finite different methods, peridynamics, phase field models, multi-objective optimisation methods, CAD. Demonstrated ability to adapt to fast-changing project direction and learn
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functions associated with the failure mechanisms using high-fidelity Finite Element Analysis. Perform sensitivity and uncertainty analysis to uncover the most significant variables in the derived limit states
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element methods. Knowledge of aluminium alloys Experience using non-linear finite element software, e.g., Abaqus. Experience with programming using Python and Fortran. Experience with conducting
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exhibiting magnetovolume coupling and/or negative thermal expansion; thermal, magnetic, morphological, and structural characterization; magnetic and structural analysis; preliminary experience with finite
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Health Monitoring (SHM) and Weigh-In-Motion (WIM) systems integrated with advanced probabilistic methods, machine learning and Artificial Intelligence (AI) approaches, and 2) advanced Finite Element (FE
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methodology for steel fibre reinforced concrete structures assisted by nonlinear finite element analysis and artificial intelligence tools”, project number 16782, code operation COMPETE2030-FEDER-00796500
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simulation software developed "in house" known as Fluctuating Finite Element Analysis (FFEA), and you will learn how to improve this software so that we can watch a molecule walk. Funding Notes The position
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methodology for steel fibre reinforced concrete structures assisted by nonlinear finite element analysis and artificial intelligence tools”, project number 16782, operation code COMPETE2030-FEDER-00796500
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: Master's degree in Mechanical Engineering, Ocean Engineering, Materials Engineering, Naval Engineering, or related fields, with a solid background in structural dynamics, finite element analysis, and