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Postdoc position in modeling and analysis of cyber-physical systems At the Technical Faculty of IT and Design, Department of Computer Science, a full-time postdoc position in modeling and analysis
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At the Faculty of Engineering and Science, Department of Materials and Production, section of Physics and Mechanics, a position as Postdoc in rheology and modelling of gels and tissues is open for
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probabilisticmachine learning models for spatio-temporal data whilequantifyinguncertaintiesassociated with climateprojection data and models. Therefore, it is important to have twocomplementary profiles to workclosely
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directions. In the first, you will work with market-driven optimal dispatch of coupled electricity–cooling systems. This includes: Modelling, analysis, and optimization of flexible cooling assets and
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computational datasets of disordered materials based on density functional theory calculations and training machine learning models to accelerate the predictions. This work will involve collaboration with Assoc
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modelling on the other. Composite and nanostructured materials are in focus due to their superior functional and structural properties. Qualification requirements Appointment as Postdoc presupposes scientific
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-theoretical modelling on the other. Composite and nanostructured materials are in focus due to their superior functional and structural properties. The position is announced as part of the DFF1 project
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with natural language. The successful candidate will develop and test novel user interfaces that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning
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of climate change modelling and Carbon, Capture, Utilization and Storage. The position will be involved in a number of projects, involved in different aspects of linking climate change with energy system
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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. The department leverages its unique research