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Field
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optimization. We are looking for a candidate who is motivated by both technical curiosity and making a real-world impact. Ideally, you: Have experience with AI models (e.g., graph neural networks, supervised
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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 chemistries and flow phenomena from
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dynamic community of PhD students and actively supports diversity. We are looking for a motivated applicant with good competences in operation research who wants to gain hands-on experience in cutting-edge
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committed to producing outstanding research with the highest academic and social impact, offering excellent research conditions. The division hosts a dynamic community of PhD students and actively supports
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manufacturing and optimization of advanced PTL/MPL architectures, with the goal of improving efficiency, durability, and reducing precious-metal requirements. This is a unique opportunity to combine modeling
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Junior Research Group “ Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible. The position is within the Math+ project "Information Flow
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related to staff position within a Research Infrastructure? No Offer Description The Public University of Navarre (UPNA) offers 1 fully funded PhD position in the MSCA Doctoral Network FINALITY (saFe
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? No Offer Description Ageing infrastructures, urbanization, and climate change are intensifying the vulnerability of critical infrastructures (CI), high-tech industries (HTI), and communities
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the Leibniz Junior Research Group “ Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible. The position is within the Math+ project "Information Flow
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. Our research integrates expertise from machine learning, optimization, control theory, and network science, spanning diverse application domains such as energy systems, biomedical systems, material