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. The underwater acoustic communication technologies will help. The school is focusing on research in AI/machine learning and signal processing which are the research areas in this proposed project. We have
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distinctions between valuable, acceptable, and non-acceptable use of these technologies in sport. The Nature and Value of Sport Virtual sports: With the help of virtual reality or computer-generated environments
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traditional data and the unique requirements of quantum information systems(https://www.classique.aau.dk ). CLASSIQUE will address a suite of fresh research challenges defined by the intersection of digital
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of the steel processing and to act as virtual tool for the selection of new steel compositions and of optimum processing conditions. Advances in digital twins also lead to fewer experiments and less usage of raw
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by steel industry is the development of digital twins able to contribute to an excellent control of the steel processing and to act as virtual tool for the selection of new steel compositions and of
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Stig Brøndbo 14th April 2025 Languages English English English Faculty of Science and Technology PhD fellow in “LLMs based Knowledge Graphs towards Digital Twin Development in Green Shipping" Apply
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. Simulations are suitable to characterise processes in healthy and diseased individuals including stroke patients. Machine learning methods might be considered to accelerate simulations. The project provides a
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. Crone researches the development of the adolescent brain. As one of the first in the world, she has been systematically monitoring adolescents, their lifestyle and the neurological processes in
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. We are encouraging applicants with backgrounds in digital media and communications, economics, history, anthropology, sociology and related social science disciplines, and relevant disciplines
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
waveguides and fibres Digital signal processing Design and analysis of photonic systems. Applicants must have a Bachelor/Masters degree (or equivalent) in electrical/electronic engineering, nano