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& Emergent Behaviour in Complex Networks“. Here, we intend to investigate how structural properties of complex networks influence information and opinion dynamics. Our goal is to gain a deeper understanding of
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that exhibit emergent turbulent behaviors, and (2) disordered optical media that process information through complex light scattering patterns. Using advanced imaging, machine learning techniques, and real-time
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, these models often use simplified, linearized assumptions, limiting their capacity to capture the nonlinear complexities inherent in real-world hydrological processes. Recently, there has also been the branch
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. The position is within the Math+ project "Information Flow & Emergent Behaviour in Complex Networks“. Here, we intend to investigate how structural properties of complex networks influence information and
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
evaluation methods Interactive systems for exploring complex networks Candidates interested in theoretical computer science will have the opportunity to work on topics such as graph algorithms, computational
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International Max Planck Research School for Living Matter | Dortmund, Nordrhein Westfalen | Germany | 15 days ago
molecular biologists at the IMPRS-LM aim to dissect the spatial and temporal organization of biochemical networks in the cellular environment. The IMPRS-LM provides a unique graduate training program that
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opportunities Close connection to clinical and translational neuroscience networks at a leading European brain research center About us The Faculty of Medicine is one of the four founding faculties
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to unravel the complexities of disease at the systems level – from molecules and cells to organs and entire organisms. Through strong academic, clinical, and industry partnerships, as well as global networks
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Multidimensional Omics Data Analysis You will be responsible for Prediction of metabolic activity in complex microbial communities, leveraging
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dynamics of these devices to perform complex learning tasks with extreme energy efficiency. Your Job: Develop and apply meta-optimization that can automatically search for the best algorithm-hardware pair