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batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e., complex material layers that can be optimized to specific battery
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process. Together, these innovations aim to make column generation more practical for solving real-world, large-scale optimization problems. These innovations will be tested within a structured software
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addressing key sustainability challenges such as climate, biodiversity, water use or land use These tasks require experience in life cycle assessment and/or absolute environmental sustainability assessment
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nanofiber membranes based on the polymer materials and structures. Evaluate the membrane performance for water treatment and food production. Collaborate with the other PhD candidate at DTU Sustain in
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Job Description The section for Materials and Durability at DTU Sustain is seeking a PhD candidate with an interest in circular construction for a project on optimization or reactivated cement – is
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Kontogianni. Our research explores how intelligent systems can perceive, understand, and interact with the 3D world. We develop new methods in computer vision, machine learning, and multimodal 3D
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: Expertise in X-ray diffraction and computed tomography Experience in electrochemical characterization of materials Experience with crystal structures analysis and Rietveld refinement Experience in working
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techniques in enzyme kinetics and structure-function analysis Contribute to pioneering research in the green transition and circular economy Be part of a vibrant international research community with excellent
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Center (CoaST). These facilities are now equipped with modern graphical user interfaces, unified communication protocols, and structured data pipelines that collect and store experimental data in dedicated
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. Structured work attitude and ability to plan and carry out sophisticated research activities in collaboration with your supervisors. Excellent communication skills in English, both written and spoken. You must