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Field
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performance, possibly using the learned reduced-order models and the spatially distributed sensors. Data-driven predictive control design of PDEs based on Koopman operators and/or relying on sparse
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in practice when the dimension of the data-generating process exceeds the sample size, this project will contribute by developing the distributional properties of generalized inverses of the high
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far from straightforward. To illustrate, the benefits of urban greenspaces are typically not evenly distributed among urban populations, often amplified by historical disinvestment in marginalised
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analyses of adaptation effectiveness, avoided economic losses and damages, and distributional impacts across society. By applying household survey data from different European cases, we can advance the
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investigate the influence of trajectory accuracy on player perception and engagement within a dedicated laboratory environment. Developing distributed synchronization algorithms: we will design and implement a
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-market effects of tax competition, the design and political economy of international tax rules, and the macroeconomic and distributional consequences of international taxation. Project background Research
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of Electrical Engineering, Mathematics and Computer Science (EEMCS), an internationally recognized research group in wireless communications, embedded systems, and distributed intelligence. Depending on your
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of quantum information – e.g. the no-cloning principle – to provide improved privacy in distributed computation settings. As part of the position, you will be expected to collaborate with other researchers
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detailed study of the effect of microwave processing parameters on the product stream distribution and characteristics, with a particular emphasis on upgrading them into valuable products for integration
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count, area distribution, inter-cluster distance) to cellular Potts model (CPM) simulations of spheroid growth and drug responses. Integrating multi-modal data streams, such as live-cell imaging, bulk and