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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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life-cycle dynamics, evolving local contexts, and structural societal changes. The network includes five European universities and several non-academic partners, offering interdisciplinary supervision
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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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group is a highly ambitious group, pursuing research on microfabrication of 3D polymer and carbon structures and devices and their application in biomedical applications, bioelectrochemistry and
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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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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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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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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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the Protocol on Job Structure. Responsibilities and tasks in the PhD programme Define and develop a PhD research topic within trustworthy NLP Carry through an independent research project under supervision