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the role of toe erosion in triggering landslides in sensitive clays. The focus will be on developing computational models that will quantify the erosion mechanisms, precursors and the time to failure
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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour
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experimental mechanics, classical materials testing also benefits from a range of well-established methods. However, biomedical applications lack such a wealth of standardized protocols to address the diverse
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safety, innovation, and making a tangible impact, we encourage your application. Please note that the successful applicant will also need to satisfy the general requirements of entry into a PhD program at
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Completed university studies (Master/Diploma) in the field of mechanical engineering, physics of related disciplines Enjoy experimental work in international and multidisciplinary teams Communicative
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transport and energy conversion. The incorporation of 2D nanomaterials as sacrificial layers enables precise control over nanochannel architecture, ensuring enhanced selectivity, mechanical robustness, and
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1st class degree in Engineering with strong background in theoretical and computational mechanics of solids/materials. To apply please contact the supervisor, Prof Andrey Jivkov - andrey.jivkov
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. The research program may also involve a numerical simulation component. Your tasks #analyzing measurements of ocean turbulence using autonomous glider vehicles #use and develop machine learning methods
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of the mechanical properties of the cellular actin cortex, the biomechanics of cell division, and the coupling between cell shape and mechanics and cellular state / fate during cellular transitions. The successful
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“Light- versus electron-induced spin-state switching of complexes on insulating layers” within the Priority Programme SPP 2491 “Interactive Spin-State Switching” This DFG-funded project aims