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), University of Southern Denmark in Odense, you will be part of the Robotic Intercropping (https://roboticintercropping.eu ) team working to break new ground at the absolute forefront of what is possible in safe
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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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tier. For example, csrankings.org lists DESS as no. 1 in Europe and no. 9 in the world within Databases for the period 2023-2024. More information about DESS can be found at: https://www.cs.aau.dk
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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
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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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methods to produce 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
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to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk ). CLASSIQUE will address a suite of fresh research challenges defined by
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. More information about DESS can be found at: https://www.cs.aau.dk/research/Data-Engineering-Science-and-Systems How to apply Your application must include the following: o Application, stating reasons
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, climate solutions and energy efficiency. Learn more about our institute at https://www.sdu.dk/en/mmmi and the centre at https://www.sdu.dk/cis . The Centre is autonomous but will collaborate closely with