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such as vehicle cabins present a lot of clutter and multipath masking the signature of the person or people to observe; and 2) the human body is a rather complicated object to observe with radar, as we want
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adapt to the patient. You will thus pave the way to next-generation small- to large-scale neuromorphic architectures inspired by the human neocortex, targeting low-footprint adaptive devices such as
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The research programme DeepNL aims to improve the fundamental understanding of the dynamics of the deep subsurface under the influence of human interventions and the resulting effects
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Create interactions with service robots that are appropriate for hospitality settings by developing innovative design tools and methods for human-robot interaction informed by Theatre and Dance. A 4
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Challenge: Human Behavior Recognition and Generation with Large Contextural Behavior Model Change: Incorporate context for human behavior recogintion and generation Impact: Advanced techniques
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manipulation attempts. The successful candidate will: Work on a research agenda around intelligent reading interfaces. Conduct research in the field of human-computer interaction and ubiquitous computing. Build
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systems’ technologies. On the requirements side, rapid adaptability to ever changing scenarios, optimal capabilities deployment and resilience along with high-level situational awareness and minimum human
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that might (or not) act as a coordinated swarm, which is a very timely problem for safety of public spaces and national assets such as airports or stadiums, not just in conflict scenarios but also for every
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Challenge: Climate shocks hit poor households hardest. Change: Improved quantification of climate shocks to household welfare. Impact: Develop pro-poor strategies to improve human security
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respond to biotic and abiotic stress (e.g. changing temperature and vapor pressure deficit, water, fungi, insects, disease) and disturbances (e.g. fire, human activity) and how resilient it is to climate