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Essential requirements Knowledge and skills in Finite Element Analysis Skills in additive manufacturing Desired requirements Knowledge and experience in optimization methods (e.g. Genetic algorithm) Knowledge
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. Experience with numerical methods, finite element method, statistics and machine learning is desirable. How to apply: Stage 1: Submit your 2-page curriculum vitae (CV), transcripts and a 300-word statement
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loading conditions. By generating datasets from finite element simulations, ML models can learn the mapping between unit cell design parameters and homogenised properties. State-of-the-art approaches
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proficiency in three of the items in the following list: - Fluent programmer (e.g., python or other) - Fundamental of finite element analysis and experience with FEA software
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or physics. It is a condition of employment that the doctoral degree has been awarded. Experience from the finite-element method is a requirement. Experience from computational structural dynamics is a
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experience in a range of industrially relevant computational engineering techniques. You will develop expertise in high-order finite element methods, mesh adaptation techniques, advanced parallel programming
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or morphodynamic applications in estuarine and coastal environments.. Proven experience in scientific programming of numerical methods (the finite element method in particular) is a strong asset. Please submit any
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using language identification, such as text corpora for rare languages. Language identification methods ground their predictions on training corpora for a finite number of separate languages. In practice
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English in ISI indexed journals. b) candidates must have skills and previous experience in the following areas: i) experience in Finite Element Method modelling; ii) railway system modelling (vehicle and/or
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Principal Investigator (PI) or Co-Principal Investigator (Co-PI) on research studies. Perform non-linear, dynamic, finite element analysis (FEA) and design for various research studies involving low- to high