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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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technologies. While these data technologies primarily focus on the human body, the evolution of healthcare environments must also be rooted in innovative architectural design. For instance, integrating advanced
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a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration. Challenge. Change. Impact! From chip to ship. From machine to human being
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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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History, Urban History, Digital Humanities; Awareness of and interest in historic developments and wish to connect this analysis to future design; Previous experience in data-driven projects, as well as in
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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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computer science, data science, or another relevant subject, with practical machine learning/artificial intelligence courses and relevant project and thesis experience. You have a keen interest in human-AI
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. Change. Impact! From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms, research and
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of technology, society and policy. We combine insights from both engineering and social sciences as well as the humanities. TPM develops robust models and designs, is internationally oriented and has an extensive