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. Both methodologies represent substantial advancements in the theoretical understanding of neural network dynamics and highlight different mathematical aspects of network "trainedness". By rigorously
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world networks have a multidimensional nature such as networks that contain multiple connections. For instance, transport networks in a country when considering different means of transportation
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on identifying the brain regions associated with different cognitive processes, but more recent studies seek to understand the nature of the information stored in various brain regions, or representations, and how
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large language models (LLMs) and specific knowledge graph (KGs): (1) We will survey and study the impact of using different LLMs on the quality of the results and the potential cost/benefit trade-off in
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for IoT Wireless Sensor Networks Project Overview: We are looking for an outstanding Postdoctoral Researcher to join our ERC-funded project focused on solving one of the most pressing challenges in
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of NYUAD Wireless is to establish a globally recognized research and innovation hub dedicated to advancing the frontiers of wireless communications and shaping the networks of the future. As a newly
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, - Interest in interdisciplinary work and scientific instrumentation, - Ability to communicate effectively in English, both written and oral, - Willingness to collaborate with researchers from different
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NETWORK AND CONVENES AN INTERNATIONAL TEAM OF ECOLOGISTS, ECOTOXICOLOGISTS, GEOCHEMISTS, AND MATHEMATICIANS. THIS RESEARCH TEAM IS SYNTHESIZING DATA ON METALS IN THE FRESHWATER ENVIRONMENT TO GAIN
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walls for construction? Do you want to understand how fungi and their mycelial networks adapt to various environmental conditions? Then you might be the postdoctoral researcher we are looking for! As a
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multidisciplinary team from several project partners (incl. IPK Gatersleben and Justus-Liebig-Universität Gießen) to analyze how controlled abiotic stress regimes (drought and flooding under different seasonal