33 process-simulation PhD positions at NTNU Norwegian University of Science and Technology
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Computer-aided design (CAD) and additive manufacturing (3D printing) of architectured metamaterials Numerical modelling and simulation of the shock and impact behaviour of additively manufactured polymers
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students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here. About the Job We are searching for a creative, skilled, and
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employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position As companies accumulate
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Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position
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students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position For a position as a PhD Candidate, the goal is
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NTNU and the application process here. About the position Are you motivated to take a step towards a doctoral degree in Mechanical Engineering? We invite you to apply for a PhD position focused on
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designs with respect to these drivers Establish which assessments, simulations, or calculations are needed—and how to perform them effectively Define the models and data necessary to support these processes
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6 Mar 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Energy and Process Engineering Research Field Engineering » Mechanical
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to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position The Department of Marine Technology has an available PhD
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. Second, simulation of pulse propagation in cables with variable parameters quantified in experimental studies. Third, utilizing signal processing and machine learning to develop detection and