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algorithms that exploit communication signals and their reflections to sense surrounding obstacles, nearby UAVs and the environment. The developed methods will combine wireless sensing with digital map
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dynamic range or polarization diversity. Operation in harsh conditions or challenging environments is therefore often very challenging. In this PhD, you will contribute to research that explores how
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thesis in the field of continual reinforcement learning. Continual reinforcement learning studies how agents can learn across a sequence of changing tasks, environments, or objectives while retaining
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in
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working environment. Find out more about working at the University of Antwerp here . Want to apply? You can apply for this vacancy through the University of Antwerp’s online job application platform up
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an increasingly complex, fragmented and distributed news media environment. This includes examining how people encounter, consume and engage with news across digital platform s, social media and new technologies
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credit through the Antwerp Doctoral School . You will do most of your work at Campus Groenenborger (Groenenborgerlaan 171, BE-2020 Antwerpen) in a dynamic and stimulating working environment. Find out more
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(Groenenborgerlaan 171, 2020 Antwerpen) in a dynamic and stimulating working environment. Find out more about working at the University of Antwerp here . Want to apply? You can apply for this vacancy through
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at campus Groenenborger in a dynamic and stimulating working environment. Find out more about working at the University of Antwerp here . Want to apply? You can apply for this vacancy through the University
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public transport costs for commuting. You will do most of your work at campus Groenenborger in a dynamic and stimulating working environment. Find out more about working at the University of Antwerp here