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diseases, and how these influence, or are influenced by, labor force participation and income. In addition, you will develop simulation models to predict how different policies could reduce the disease
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engage in developing innovative methods for interpreting and explaining the inner workings of natural language processing models. The research will broadly align with the objectives of the CopeNLU research
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) Theoretical machine learning development – Designing new AI algorithms with broad applications, potentially extending beyond medicine. Our work includes explainable AI, AI in robotics, and geometrical modelling
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emerge. Our theoretical approach combines analytical calculations with computational simulations. The members of the group provide a balanced mixture of postdocs, PhD students, and undergraduate students
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PhD fellowship(s) in Data Science and Geometric Models of Morphology and in Computer vision for detection and segmentation in plant images, Faculty of SCIENCE, University of Copenhagen
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life emerged. As a PhD candidate, you will evaluate scenarios through numerical modelling of mantle dynamic and lithosphere (de)formation processes, using the range of possible Hadean compositions and
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years, CropXR focuses on creating eXtra Resilient (XR), sustainable, and climate-adaptive crops. By combining plant biology, simulation modelling, and artificial intelligence we aim to develop smart
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. This position will focus on one key stream: understanding and improving the interaction between EVs and roadside barriers. This will involve: Modelling EV crash dynamics with conventional and SRB barriers
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limits map which describes the performance of a turbine wheel with respect to the microstructure through simulation and empirical testing. The aim of the project is to develop a modelling and simulation
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robots, tractor-implement automation, communication technologies for vehicles, navigation, guidance and planning, positioning systems, model-based control of mechatronic systems, drives and power systems