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Studies Sports Science Psychology Engineering Sciences Civil and Environmental Engineering Mechanical Engineering Electrical Engineering & Information Technology Faculty of Computer Science Natural & Life
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research programme consists of 15 PhD projects which will contribute to the development of innovative methodologies, tools and design strategies that make AM a reliable, scalable and economically viable
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into industrial repair and remanufacturing practices. This large, interdisciplinary national research programme consists of 15 PhD projects which will contribute to the development of innovative methodologies
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social sciences embedded in an engineering environment. Your main supervisor will be Senior Researcher Sophie Nyborg, and you will join the PhD School at DTU Wind and Energy Systems. Responsibilities and
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Johan Ulrik Lind, Leticia Hosta-Rigau and Anton A. A
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Qualifications Relevant Ph.D. in Electrical Engineering or Computer Science or related fields. Solid background in power systems dynamics and modeling including load flow, short-circuit, and contingency analysis
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degree with honours (or equivalent) in Engineering, Physics, Mathematics, or Materials Science • Excellent English written and spoken communication skills • Foundations in Continuum Mechanics and
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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Degree PhD Course location Saarbrücken In cooperation with Close collaborations have been established with the University of Technology Sydney (UTS, Australia), University of Groningen
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integrating mathematics, physics, computing, and communications engineering with sociocultural and ethical perspectives, QUESTING pioneers an innovative approach to building scalable, robust, and adaptive