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Interaction to redefine how machines interpret human actions, anticipate intentions, and interact seamlessly with people in various settings. The successful candidate will be developing new methods for remote
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to redefine how machines interpret human actions, anticipate intentions, and interact seamlessly with people in various settings. The successful candidate will be developing new methods for Real-time Video
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of Singapore, and EPFL (Switzerland). These partners are looking for talents in several domains of machine learning, AI, computational biology, and biology, to develop PhD theses across the main pillars
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and projected in data-scarce African cities, and how can these results be translated into an open and reproducible digital observatory supporting research, planning and participatory exploration