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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Knowledge of constitutive modelling of materials. Knowledge of non-linear finite element methods. Knowledge
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and Technology (NTNU) for general criteria for the position. Preferred selection criteria Knowledge of plasticity theory. Knowledge of constitutive modelling of materials. Knowledge of non-linear finite
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and Technology (NTNU) for general criteria for the position. Preferred selection criteria Knowledge of plasticity theory. Knowledge of constitutive modelling of materials. Knowledge of non-linear finite
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25th February 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in machine learning and large language models (LLMs
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Technology (NTNU) for general criteria for the position. Preferred selection criteria Knowledge of constitutive modelling of materials Knowledge of non-linear finite element methods Experience with programming
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6th April 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in magnetohydrodynamic modeling of electric arcs in silicon
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the Telemark Canal , focusing on digital twin-based preparedness modelling for cultural heritage infrastructure. The primary objective of the position is to complete a doctoral education leading to a PhD degree
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criteria for the position. Preferred selection criteria Knowledge of constitutive modelling of materials Knowledge of non-linear finite element methods Experience with programming using Python and Fortran
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data science and material design into a research approach of data-driven membrane discovery that includes material space construction and exploration, candidate selection and verification, providing data
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a considerable fraction of post-consumer scrap. The research will focus on microstructure and defect formation, how the outcome of these processes is affected by the inclusion of recycled material