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://www.ntnu.edu/ept ) at the Norwegian University of Science and Technology (NTNU) is seeking a PhD candidate to work within process modeling and simulation of novel zero-emission oxy-fuel combustion CO2 capture
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innovative computational approaches, leveraging finite element simulations, AI, and clinical data, to better understand the mechanisms of MR. This aims to improve patient risk stratification and treatment
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list each selection criteria from 6 to 14 and explain one by one, how your past experience fullfill these criteria and can this contribute to PlastBrain project (maximum 2 page) If available copy
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work duties after employment. Required selection criteria You must have an academically relevant background within AI, or materials-related simulations (DFT, MD, or FEM). You must have a Master's degree
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simulations, the study aims to characterize the failure mechanisms of base steels and barrier-integrated alloys. A key goal is to refine experimental methods for evaluating fatigue-fracture behavior in hydrogen
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wearable computing systems for harsh deployment conditions via code optimization and simulation technologies. You will join a team of international researchers with diverse backgrounds to address
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Element simulations (e.g. pushover analysis and/or incremental dynamic analysis). Moreover, the project aims to verify the ductility requirements with full-scale experimental results and explore
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relevant component development tasks in the project Contribute to relevant simulation and modelling activities in the project Required selection criteria You must have a professionally relevant background in
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VASP, Quantum ESPRESSO, VAMPIRE, or MuMax3 Perform simulations to design and optimize material properties for the desired magnetic characteristics Complete the doctoral education until obtaining a
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documentation such as: certified copy of admission to a PhD programme programme summary of approximately one A4 sized sheet including information about your PhD project, topic, method, theoretical approach, and