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. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs
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applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https://www.cragenomica.es/sites
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candidates with expertise in areas such as: Construction Informatics Digital Engineering BIM and Digital Twins Artificial Intelligence and Machine Learning Automation and Intelligent Systems Smart
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. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs
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, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future. At TU Delft, our people make the difference. With
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. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs
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topic of transport geography.More specifically, you will work on the topic of "inclusive, sustainable, and efficient accessibility: systematically evaluating and learning from 'smart' initiatives." What
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The successful candidate will be part of the GIS&T Research Group, and will focus on developing new GeoAI models for applications in mobility, urban analytics, and smart cities. WHAT WE ARE LOOKING FOR You hold a
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transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies. You will join the
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The mission of the Center for Urban and Regional Affairs is to align University of Minnesota resources to catalyze community-driven change. We collaborate with community and local government to advance smart