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for patient-specific shoulder implants with architected internal structures tailored to mechanical needs. Conventional implants are typically designed with generic geometries and stiffness distributions, which
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on other aspects of the mechanical and multiphysics behavior of heterogeneous materials. Where to apply Website https://www.academictransfer.com/en/jobs/356990/phd-on-ml-accelerated-simulatio… Requirements
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computational mechanics, or structure-property relationships is of benefit. Interest to work in an interdisciplinary project, with a strong scientific profile, but in close coordination with industrial partners
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background are discouraged to apply. Additional experience in materials science, metallurgy, experimental mechanics, mechanical testing, micromechanics, or structure-property relationships is of benefit
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inner membrane, T7SSs assemble a large complex, responsible for translocating large, folded protein substrates. We have recently isolated and solved the structure of this fragile inner membrane assembly
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on Graphs: Symmetry Meets Structure (LOGSMS). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing
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integrating open science in their research practice. The Faculty of CEG comprises 28 research groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures
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PhD candidate, you will be enrolled in the section of Mechanics and Physics of Structures, which is part of the Department of Engineering Structures. The guiding principle of the section is to seek a
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ocular disorders. The PhD projects are hosted in labs across Europe. an overview of the participating researchers, their research interests and the PhD project topics can be found at https://indibrain.eu
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at the University of Twente is looking for two PhD candidates to join the research team of Dr. Gaurav Rattan. The positions are funded by the NWO VIDI project Learning on Graphs: Symmetry Meets Structure (LOGSMS