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computational genomics of Alzheimer’s disease. The Sleegers lab is an international team committed to increasing insights into the complex genetics of Alzheimer’s disease and to investigating the translational
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to understand and predict how technologies evolve — from artificial intelligence to net-zero innovations in energy, transport, and carbon capture. By building a global database on technological progress, we seek
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: Background in signal processing, network science, or statistical physics applied to time series and/or complex systems analysis. Familiarity with PNT data, spatiotemporal datasets, or related domains
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the study of the development of singularities, the long-time behavior of complex systems, the formation of spatial patterns, the transition between stability and instability, and the first steps of transition
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. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, quantum conputing
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Postdoctoral Researcher in Synthetic Organic Chemistry and Photochemistry, IBMM, Montpellier, France
tissues. 3D printing technologies have boosted progress in the field by enabling the fabrication of complex engineered tissues. Nevertheless, printed scaffolds cannot faithfully recapitulate the spatial
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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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. This agent will be designed to integrate and interpret complex patient data using tools such as neural networks for analyzing patient imaging data; language models for analyzing patients' clinical and lab
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
data inputs and linear models. Consequently, they struggle to capture the complex, non-linear interactions between fuel conditions, topography, weather dynamics, and anthropogenic activity
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, which is the overwhelming camera technology of today; machine learning with deep neural networks. More details can be found here . The Department of Mathematics at KTH offers a high-class, active research