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experimental and computational models. The doctoral candidate will develop three-dimensional printed models of diseased aortic valves and play a central role in the further development and validation of a
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that are deeply grounded in stochastic analysis and show also development of computational methods towards machine learning. The projects will focus on applications to risk-sensitive decision making and control
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’. About the project We seek a highly motivated and exceptionally talented PhD research fellow in fluid mechanics to pursue research tasks aiming to develop novel theoretical frameworks for the coupling
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, droplets, fluid–structure interactions and interfacial fluid mechanics. You should be strongly self-driven, genuinely interested in an academic career, and eager to develop independence in your research
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partners are a part of this project. The ideal candidate would combine strong computational skills with domain knowledge in either acoustics or fluid mechanics, plus demonstrated ability to apply AI/ML
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of Norway, focusing on the development of soft hairy surfaces for flow control and vibration-based soft robots. The overarching goal is to develop a new understanding of fluid flows coupled to complex and
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qualities. We offer Developing tasks in a strong and international professional environment Career guidance throughout the postdoctoral program and together with you we will prepare a career plan, which
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