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is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up. The developed technologies will be
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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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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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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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languages such as French, German and Italian excellent attention to detail experience with editorial work and copyediting flexibility and the ability of make shifts in focus a methodological and structured
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Confederation of Professional Associations on Academics in the State. The position is covered by the Protocol on Job Structure. Responsibilities and tasks in both PhD programmesCarry through an independent
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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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on Job Structure for Academic Staff at Danish Universities 2025 here: https://www.retsinformation.dk/eli/lta/2025/375 Terms of appointment and salary is in accordance with the Danish Confederation
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over time, considering life-cycle dynamics, evolving local contexts, and structural societal changes. The network includes five European universities and several non-academic partners, offering