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between Queensland University of Technology (QUT) and the Queensland Women and Girls’ Health Promotion Program (QWGHP), we are offering a fully funded PhD scholarship for a motivated candidate to undertake
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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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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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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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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
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computational mechanics, applied mathematics, physics, computer science, biomedical engineering or a related field Good knowledge of numerical methods and finite-element analysis Solid programming skills in C
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subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging, particularly MRI, medical