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. Together, we want to explore how small models can extract useful information on specific crime themes, such as drug trafficking, primarily from publicly available news sources. Relevant tasks include
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Are you interested in the empirical foundations of flood damage modelling and keen to translate that knowledge into practical strategies for insurers to reduce losses through early warning and
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interventional questions automatically will help decision-makers solve complex challenges (i.e., reducing methane emissions or reducing the infection rate during a pandemic). Most machine learning algorithms
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are still not exploited to their full potential. The CROPWAVES project aims to contribute to better future food security by improving global-scale crop and climate models through the integration of satellite
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governance from around the world”. We address questions related to institutional effectiveness and change, governance innovation and complexity as well as learning and adaptation. Empirically, we have a strong
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approaches in plant breeding, offers new opportunities to address this. One such challenge is to improve complex traits such as crop tolerance to dynamic environmental conditions in the current era of global
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planetary atmospheres. The Section also initiates and manages a wide range of related modelling, software and hardware R&D activities. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s
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designing and conducting MR experiments, developing pulse sequences and experimental methods, modeling spin dynamics and relaxation, analyzing data, and interpreting the underlying physical mechanisms
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methods and modelling approaches applied to the full range of Remote Sensing imagery for land monitoring, from UAV and airborne platforms to imaging spectroscopy, optical to SAR satellite data at a global
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We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal