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). This problem is scientifically challenging, as 1) indoor environments 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
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under the influence of human interventions and the resulting effects at the Earth's surface. DeepNL focuses on induced earthquakes and subsidence caused by gas extraction in the Groningen area. This PhD
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that integrates personal wearables, smart home systems, and other healthcare technologies. While these data technologies primarily focus on the human body, the evolution of healthcare environments must
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can 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
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, 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 coding, scripting, and
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Job related to staff position within a Research Infrastructure? No Offer Description Human memories do not just capture a stream of data. What is important to memorise is determined by the way we
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this project we work on the problem of monitoring multiple drones 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
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learning/artificial intelligence courses and relevant project and thesis experience. You have a keen interest in human-AI interaction and explainable AI and enjoy collaborating with experts in different
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computational modeling to gain insights into the biomechanical behavior of human tissues in both health and disease. Our models, operating at multiple scales – from individual cells to entire tissues and organs
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and resilience along with high-level situational awareness and minimum human-on-the spot presence are needed. On the solutions side, high vessel automation along with safe communications and effective