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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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separation in relation to the environmental challenges of mining. • Investigate leaching and extraction mechanisms in these unconventional media (complexation, structuring, kinetics, thermodynamics). • Explore
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toxicity from released elements. To address these, novel aspects will be explored: (i) development of Ti-based amorphous and β-Ti alloys with non-toxic compositions and enhanced biocompatibility; (ii) alloys
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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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membranes are structured both in a spatial manner and most importantly, temporal manner. Membranes can be seen as mosaics of small domains, or nanodomains, each characterized by a distinct biochemical
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of cilia, remains poorly understood. To address this, we will employ state-of-the-art techniques to investigate the compositional, structural, and functional diversity of primary cilia in complex tissues
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twins and determination of the structural properties of rotor blades to improve the estimation of remaining useful lifetime (RUL) along with other requirements and simulations. Your work will advance
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mappings. By leveraging established entity and relation embeddings, the goal is to express conjunctive queries as structured compositions within the embedding space. For each representation type, it is
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twins and determination of the structural properties of rotor blades to improve the estimation of remaining useful lifetime (RUL) along with other requirements and simulations. Your work will advance
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flow 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