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Field
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opportunities to better explain and predict travel patterns. Artificial Intelligence (AI)-driven modelling and prediction has the potential to reshape urban mobility. AI can help operators in transport planning
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sustainable ways to manage global airspace. By applying artificial intelligence and machine learning, you enable new levels of automation and operational efficiency. Join Delft University of Technology to shape
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As Assistant Professor in Air Traffic Management, your research advances intelligent and sustainable ways to manage global airspace. By applying artificial intelligence and machine learning, you
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innovative solutions - in terms of technology and methodology - enhancing its effectiveness: Artificial Intelligence, Advanced Simulation, Augmented Reality, Concurrent and Collaborative Engineering, Cost
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activities as well as the growth of a sustainable industrial network of services. This process relies in particular on the optimisation of the data architecture to enable the efficient use of artificial
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for applying to this role will be explored. Knowledge and background in one or more of the following domains is an asset: artificial intelligence and data science: understanding of machine learning and deep
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to interdisciplinary disciplines such as artificial intelligence and industrial engineering and management. Our community has an open and informal character with students and staff from around the
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: - A Master's degree or PhD in a relevant field. - Demonstrable expertise in at least one of the following three domains: 1. Artificial Intelligence / Data Science: A strong understanding of machine
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GNC sensors and actuators; Autonomous Navigation systems including data fusion, vision-based navigation and hybrid navigation concepts, guidance & optimisation techniques, including artificial
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GNC sensors and actuators; Autonomous Navigation systems including data fusion, vision-based navigation and hybrid navigation concepts, guidance & optimisation techniques, including artificial