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The postdoctoral researcher will work on a variety of projects within topology optimisation for multiphysics problems. The postdoctoral researcher will join the ‘Multiphysics Simulation and Optimisation’ (MSO
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/w) fixed-term postdoctoral position in Simulation and Modelling. The position focuses on designing and implementing the agent-based modeling component of research projects in code, requiring
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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photonic devices and systems for applications in communication, sensing, and quantum technologies. We combine theory, simulation, fabrication, and experimental characterization in a collaborative and
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Experience in design of PCBs will be preferred Development of PyQt programs with graphical user interfaces for simulation and control Digital image processing and analysis Preferred languages are Danish and
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-simulation and co-optimzation with other domain specific modelling tools. Driven by needs of applications the position may involve extensions of the modeling capabilities of UPPAAL as well as improvement
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skills, as well as programming skills as needed for conducting advanced radio system-level simulations are a prerequisite. The PhD student is expected to master English in writing and conversations
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–microstructure–property–performance simulation platform, and (iii) a theoretical framework for design of AM-defect tolerant microstructures. The focus of the current postdoc position will be on applying all
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optimization of waste heat harvesting. Your role will be to simulate the heat transfer processes between façade panels and thermoelectric generators, focusing on maximizing waste energy recovery efficiency. You
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contact persons at the bottom of the jobpost. Further information We recommend that you save a copy of the job posting, as it will be removed once the application deadline has passed. The assessment