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Zeppelin airship Apply advanced data analysis methods, including statistical tools and programming, to large multidimensional datasets from chamber and airborne experiments Present your results
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations
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-correlated environmental noise. 2. Simulation of the dynamics of a regional community of 3 species belonging to two or three trophic levels, considering different types of spatial networks, in the presence
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Horizon Europe MSCA Doctoral Network, SUPER, as a PhD Fellow. The successful candidate will be registered as a fee free PhD student at Universidad Europea de Madrid and enrolled in the SUPER Doctoral
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to assess their suitability as cathodes. Assess the possibilities of contamination using steel, tungsten carbide, zirconia and silicon nitride media via a combination of XRF, ICP-MS and SEM/EDS analysis
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including at least several of the following: algorithms, data analysis, graph, network and complexity theory, scientific computing, statistics, machine learning, programming in C, C++, Python, a scripting
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of strategies to reduce mobile network energy consumption, with a strong focus on the RAN and clear service-quality constraints • Leveraging Network Digital Twinning and what-if analysis frameworks
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protocols - Delivery of training courses in bioinformatics and data analysis - Maintenance of networks and computer equipment Specific Requirements 1. Be a Spanish national or a national of any of the Member
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consortium partners Joint supervision and access to a multi-stakeholder ecosystem Full details and official call documentation: https://marie-sklodowska-curie-actions.ec.europa.eu/actions/doctoral-networks
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real-world field data. The central research question of this thesis is: How can Extreme Value Theory (EVT) and Bayesian Networks (BN) be coupled to build a predictive and dynamic model of NaTech risk