55 data-"https:" "https:" "UCL" "UCL" "UCL" "UCL" PhD positions at Aalborg University in Denmark
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macroeconomic paradigms. The research will include: Macroeconomic modelling (using SFC and other approaches) Macroeconomic theory covering different paradigms in macroeconomics Integration of financial data
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(LLMs) to explore historical text data and cultural heritage collections. Collections of historical texts are increasingly used to train AI, but, consisting of highly heterogeneous text data
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will be part of a team of researchers responsible for the annual productivity studies by Aalborg University Business School. These studies provide data driven insights into regional productivity
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disturbances or cyberattacks, such as sensor manipulation, electromagnetic interference, or injected faults, can affect the behaviour of power electronic systems. Developing data-driven models that capture how
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of student projects and participation in courses related to human-computer interaction and software engineering. Your competencies Applicants should have a strong interest in human-robot interaction and the
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, mathematical engineering, acoustics, machine learning or similar; Solid mathematical and analytical skills, including signal processing, optimization, machine learning or information theory; Experience in
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. Do you have any questions? If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read
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the agricultural pest, Spotted Wing Drosophila in current and future climates. This includes exploring mechanistic distribution models involving experimental data on environmental tolerances such as
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reliability. Prospective applicants for this PhD proposal should have the following qualifications: M.Sc. degree in communications engineering, mathematical engineering, electrical engineering, computer
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that can support the development and implementation of robots that meaningfully support everyday work in healthcare. The successful candidate will conduct empirical research and collect data through