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technologies in the blue bioeconomy domain, specifically microalgae production Focus explicitly on quantitative approaches for consequential modelling and uncertainty analysis Produce high-level scientific
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. Moeslund, Aalborg University, and Law Professor Thomas Gammeltoft-Hansen, University of Copenhagen. XAI-CRED aims to develop an explainable AI (XAI) model to expose details of AI models – with a special
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on modular and reconfigurable manufacturing systems and develop methods and model-based approaches to design and evaluate resilient reconfigurable manufacturing systems. The methods will be co-developed and
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, you will be offered an interview to clarify your future career. The main responsibility of the PhD fellow is to plan and conduct research focused on applying different types of modelling methods
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-EEG, rTMS, HD-tDCS), bio-medical techniques (e.g. linked with epigenetics and general biomarkers), quantitative sensory testing (QST) as well as research based on animal models (e.g. rodents and pigs
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to: Perform prospective life cycle assessment of emerging technologies in the blue bioeconomy domain, specifically microalgae production Focus explicitly on quantitative approaches for consequential modelling
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90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model
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crystallinity. Therefor prior knowledge of state-of-the-art modelling software and molecular dynamics simulations and quantum mechanical calculations to elucidate the reaction mechanism, together with AI based
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for resilient manufacturing systems. This topic will build upon existing theory on modular and reconfigurable manufacturing systems and develop methods and model-based approaches to design and evaluate resilient
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be expected in this phase Developing AI models to enhance drone perception and navigation capabilities, particularly in GNSS-denied environments Requirements The ideal applicant must show experience