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, transitions of control, driver awareness, and the communication of system capabilities and limitations. The project brings together expertise from human-computer interaction, AI, human factors, cognitive
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methods and modelling approaches applied to the full range of Remote Sensing imagery for land monitoring, from UAV and airborne platforms to imaging spectroscopy, optical to SAR satellite data at a global
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, with part of your time spent on-site at Model Health (Leuven, Belgium) for the development of the video-based prototype. You will work closely with Model Health and Moveshelf, embedded in
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paradigm shift is emerging – data interaction – in which data remains in its source systems but becomes available in real time, contextually, and on demand to authorised users and applications. This Postdoc
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development of the video-based prototype. You will work closely with Model Health and Moveshelf, embedded in the multidisciplinary "Care is coming home!" program, a 5-year consortium of 2 technical universities
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tasking in real time. The fellowship will investigate how mission planning can evolve from static scheduling to an adaptive, intelligence-driven process executed directly on board satellites. This includes
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energised — not deterred — by problems that sit between physics, learning and the messy real world. Your experience and profile: a PhD (completed or near completion) in Machine Learning, Computer Vision
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expertise and that of the team to rapidly identify problems, propose solutions, and prototype, test, and validate new ideas that expand our core technical capabilities. Your work will include designing and
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Economics (EIPE). Additional information Application documents 1. CV (without personal picture) 2. Motivation letter (max 2 pages), including a brief explanation of how your research background is related
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that copy, transform, and maintain data in multiple places, creating rigidity, high maintenance costs, limited scalability, and strong vendor dependencies. In response, a paradigm shift is emerging – data