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worldwide for its high academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees
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worldwide for its high academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees
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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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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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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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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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University is known worldwide for its high academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all
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building materials using polyphasic detection and identification approaches. Characterization of biobased building materials with respect to their moisture sorption isotherms. Modelling the correlation