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, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for
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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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volatility. CLASSIQUE is organized into four Research Thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and
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interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and
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qualifications around data-driven digital twins, energy systems modelling, forecasting and control. Some prior knowledge on distribution grids and methods for grid services is preferred. Moreover, the following
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and European companies and international academic partners. The AI4OR group focuses on solving complex problems, which require high-level modelling, data analysis and management capabilities as
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real-world battery application by operating, monitoring, analyzing, modeling, and controlling the modern BESS. As part of the N5T PhD program, your tasks will be to: Work on laboratory test and grid
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real-world battery application by operating, monitoring, analyzing, modeling, and controlling the modern BESS. As part of the N5T PhD program, your tasks will be to: Work on laboratory test and grid
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Job Description Are you excited about developing advanced models and algorithms to better understand and predict human decision-making? Are you interested in integrating behavioural models with
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mechanics, advanced material models and extreme deformations. Responsibilities and qualifications The project involves extensive development and implementation of numerical algorithms for skin mechanics and