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Field
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housing typology at fine spatial scales. The composite N will be further disaggregated by age, gender, and household composition to reveal how the health consequences of urban accessibility differ across
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conducting a workshop of experts and strategically engaging with stakeholders through meetings. Through this project, they will gain industry relevant skills in spatial optimisation, economic modelling, policy
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more efficient by identification of the critical processes and parameters. In this project, we aim to develop mathematical and computational models to predict the spatial distribution of concentrations
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. This assessment aims to better identify areas of concern relating to the siting of the wind farms, their spatial layout and their technical characteristics. It should also help to identify relevant levers
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-spatial inequalities in four European cities: Brussels, Amsterdam, Barcelona and Thessaloniki. Against the backdrop of deepening housing crises and widening urban inequalities, EXPULSE examines how
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-spatial inequalities in four European cities: Brussels, Amsterdam, Barcelona and Thessaloniki. Against the backdrop of deepening housing crises and widening urban inequalities, EXPULSE examines how
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-spatial inequalities in four European cities: Brussels, Amsterdam, Barcelona and Thessaloniki. Against the backdrop of deepening housing crises and widening urban inequalities, EXPULSE examines how
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. I am also interested in interdisciplinary research with a machine learning foundation. So if you’re interested in projects such as applications of ML in tracking geo-spatial changes (e.g., climate
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perturbation-based GRN inference for single-cell and spatial multi-omics data, to boost GRN quality and add the cell type and tissue heterogeneity dimensions to causal regulatory analysis. A deep learning
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developing a collection of spatially distributed models for these objectives within an encoder-decoder framework to reduce the dimensionality, enabling the use of multi-objective optimisation to generate a