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Field
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
modeling of large-scale dynamics in networks. This role involves creating large scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate
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: Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design Creating and validating digital twin architectures that incorporate physical laws and constraints
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research cruise or fieldwork expeditions. Experience analyzing acoustic backscatter data. Experience collecting and analyzing zooplankton net samples. Experience with moored instruments. Experience in data
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geometry, number theory, and several complex variables. The environment offers regular seminars, collaborative opportunities, and connections to a wide global network. Who we are looking for We are looking
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complexity theory, fast matrix multiplication algorithms, the geometry and representation theory of tensors, asymptotic spectrum duality, and applications? The research group of Jeroen Zuiddam at University
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 1 day ago
the architecture, dynamics, and functional specialization of TIM23 complexes containing either TIMM17A or TIMM17B, and to determine how these variants differentially shape mitochondrial protein import and proteome
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 1 day ago
-proteasome system, the cytosolic chaperones, and other proteostatic surveillance mechanisms. The project aims to explore how novel partners of the TOM complex identified by our group support protein
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management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we
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develop transformative therapies for glioblastoma (GBM) by understanding the disease on its own biological terms, within the complex context of the human central nervous system. We are entering an exciting
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networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis