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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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Organisation Job description A PhD position is available for a four-year term as part of the recently awarded ERC Starting Grant for the IntensifiedCO2 project. The main objective of this project is
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