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Field
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systems (ITS). In particular, the successful candidate will conduct cutting-edge research in: Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
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government, administration and business in their efforts to adapt to climate change. It builds up a national and international network structure in order to integrate existing competences and knowledge, and to
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science-based prototype products and services in support to government, administration and business in their efforts to adapt to climate change. It builds up a national and international network structure
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Southeast Asia, ’ led by Prof. Dr. Judith Bovensiepen. This project investigates the complex interplay between animism and extractivism in Southeast Asia. Each position involves conducting in-depth
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Identification of soil invertebrates (e.g. mites, springtails, insects) using modern and classical techniques Laboratory analyses of soil properties Statistical analysis of complex ecological datasets Presentation
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progress in human, animal health, and agriculture, but no progress for the environmental sector. The aim of this project is to fill this gap by launching a new international network — a UK-Chile
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processing approach based on flow patterning to make meter scale LCEs of complex shapes and actuation modes. ALCEMIST builds on a tight synergistic collaboration between the Experimental Soft Matter Physics
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progress in human, animal health, and agriculture, but no progress for the environmental sector. The aim of this project is to fill this gap by launching a new international network — a UK-Chile