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welds. Modelling and simulation: development of a physics-based simulation framework (e.g., phase-field modelling) to predict hydrogen-assisted crack growth and long-term mechanical integrity of steels
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noise. In this position, you will further develop our numerical simulations for outdoor sound propagation. You advance our existing simulation platform to consider atmospheric turbulence effects and make
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at the forefront of addressing several fundamental questions including: How can we best simulate strongly correlated quantum systems and harness the power of both classical and quantum computing resources? Can we
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responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling, or generative modeling. Collaborating with
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cryo-EM workflow (sample/grid preparation, data acquisition, data processing, model building and interpretation). The writing of scientific papers and active participation in internal meetings and in