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candidate, you will investigate the learning capabilities of feed-forward and recurrent models of neural circuits with various degrees of biological plausibility, with a focus on: Transferability of
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Examination (HINE). However, current predictive models lack integration of these modalities and precision in individualized diagnosis and prognosis. As part of the ENSEMBLE Project—a multinational study funded
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, machine learning and behavioral modeling methodologies. In the FlexMobility project we propose a holistic approach to design a public transport network that includes both traditional fixed lines and
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, simulations and cutting-edge data to uncover the origins of black holes and neutron stars, linking theory with the latest discoveries in this rapidly growing field. It has been just over a decade since the
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-temperature experimental equipment hosted by the UU Earth Simulation Laboratory, and the world-leading analytical facilities hosted at UU’s Electron Microscopy Centre. Project description Recent advances in thermodynamic
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on the mathematical theory enabling these advances, via asymptotic analysis and nonparametric modeling. You will work in the Statistics section at the Delft Institute of Applied Mathematics (DIAM
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of the global supply chain. Most ways to model the stochasticity involve introducing nonlinear terms in the mathematical formulation. It is your goal to investigate how well machine learning methodology can be
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needs to be supplied with rigorous uncertainty analysis. The focus of this project is on the mathematical theory enabling these advances, via asymptotic analysis and nonparametric modeling. You will work
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ERC Advanced Grant “De Tenebris” (PI: G. Bertone) and develop precision models of binary black holes in astrophysical and dark matter environments. Join Us! You will join the GRAPPA centre of excellence
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boundaries of system-level modelling, analysis, design, exploration and synthesis beyond the current state-of-the-art? Or are you curious to learn more about the application of AI for system diagnostics and