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Field
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. AI4GI develops tailor-made neural network architectures, including sparse and biologically informed models, to predict disease risk and complex quantitative traits from large-scale genomic data such as
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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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on the track of Cyber-Human Physical Systems seeks researchers to advance Systems Science and Engineering by modeling human behavior in complex dynamic networks addressing global challenges. Emphasizing Cyber
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University (UU) and prof. Laura Ragni at the University of Freiburg (U-Fr), funded by a NWO-DFG WEAVE grant. The project aims to understand how a complex network of conserved MYB transcription factors is
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inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic
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staff position within a Research Infrastructure? No Offer Description Title: “Synthetic Dataset Generation Technique to Optimize Neural Network Training for Seismic Data Prediction” Research Area
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equations (SDEs) are widely used to model time-evolving phenomena in finance, biology, and social dynamics, the underlying data is often highly sensitive. This project tackles the intersection of complex
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The Academy would like to seek proactive and self-driven applicants for a research project on care networks for Chinese older adults with dementia. Responsibilities: Conduct literature review
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, simplicial complexes, manifold theory, fiber bundles, curvature). Familiarity with topological data analysis—persistent homology, filtrations, stability theorems—is particularly valued. Extensive experience
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phototrophic endosymbionts have played central roles in the radiation of complex life and are critical to global nutrient cycles. Yet, global change is pushing these symbioses and the ecosystems they support to