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chemical–biological pathway. The advertised positions will support these efforts through research on advanced carbon capture methods, process modelling and optimization, and biological CO2 valorization in
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optimization or related inverse design techniques. While this position does not involve developing AI models, it requires close collaboration with AI researchers to ensure data is appropriately structured for AI
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optimization, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured
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chemical–biological pathway. The advertised positions will support these efforts through research on advanced carbon capture methods, process modelling and optimization, and biological CO₂ valorization in
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solution to carbon capture. During the Villum P2X Accelerator, we will focus on optimizing energy efficiency, designing a prototype, testing it with industrial partners using real flue gas, and scaling
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microstructural engineering will focus on in-situ optimization of the local distribution of grain sizes, crystallographic orientations, and stresses by the novel possibility of varying the laser beam shape and spot
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topological photonics and nanophotonics. This will involve analyzing and computing topological properties of photonic structures, as well as planning and envisioning new research directions. The project is
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optimizing heat transfer, cost-effectiveness, and integration with façade panels. We aim to create scalable, sustainable building solutions. The project is integrated in an international project financed by
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Job Description Are you passionate about leveraging IoT, machine learning, and optimization to make buildings smarter and more sustainable? Join us to advance your career by working
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Job Description Are you passionate about leveraging IoT, machine learning, and optimization to make energy districts and communities more sustainable? We are looking for a highly motivated and