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duties, up to a maximum of 20 per cent of full-time. Your research focus will be on models and simulations of reactive gas flows, with applications in thin film depositions. Thin films form the basis
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cancer. The goal will be to find genetic prediction models to be able to predict which childhood cancer patients have a high or low risk of toxicity in childhood cancer. Preliminary the doctoral project
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array antenna systems for imaging MIMO radar in autonomous driving applications. This work will advance the design and characterization of intelligent devices and environments for wireless communications
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to change of bulk properties. The proposed research aims to advance this science to knowledge of transformation processes at the molecular resolution. This knowledge will enable defining strategies to direct
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Health Research and Policy-Work on Post-Covid-19 Syndrome ’ . Specifically, you will be working in the subproject ‘A Novel Model for Policy-Work’. One of the aims of this subproject is to examine what is
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in humans and in animal models. Environmental factors have been reported to predict the risks of developing SUDs too. For instance, epidemiological data have shown that impoverished social environments
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of this WASP-financed project is machine learning, in particular dealing with generative models and instabilities associated with cycles of retraining on mixtures of human and machine-generated data
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multiagent dynamics, with special focus on human decisions and opinion dynamics. The research will deal with both theoretical and computational aspects. The student will develop dynamical models and apply them
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of the dynamics of macro and micropollutants in AD plants mainly refers to change of bulk properties. The proposed research aims to advance this science to knowledge of transformation processes at the molecular
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that collectively represent an object or a scene. This data structure plays a crucial role in distributed autonomous systems, enabling applications such as augmented reality, autonomous vehicles, and environmental