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-Nederlanden and based at the Faculty of Economics and Business at the University of Amsterdam. The focus of our research is on developments in survival rates and life expectancy, how these developments
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computer vision algorithms for accurate landing navigation. Develop control and guidance systems for precision landings on moving platforms. Create algorithms to decode optical communication signals. Conduct
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project from the Dutch Polymer Institute (DPI). The main objective is to develop and validate a real-time, AI-enabled multi-sensor fusion platform for diagnostics and prognostics of polymeric bearing cages
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of machine learning (ML) and quantum many-body physics. We are also happy to work with experts in one of the two fields who are committed to learning the other. Moreover, we look for interest in developing
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applications in the media change journalism, the public sphere, civic engagement and economic competition. We will develop and test new AI-applications to help solve problems such as disinformation, algorithmic
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their challenges in using AI in the media. The lab investigates how AI-driven applications in the media change journalism, the public sphere, civic engagement and economic competition. We will develop and test new
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primary mission involves developing control strategies that enable robots to perform complex manipulation through tactile feedback. You'll focus on three critical aspects of the problem: sliding motion
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sensor technology to control grippers and multi-finger hands. Your primary mission involves developing control strategies that enable robots to perform complex manipulation through tactile feedback. You'll
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students in the classroom, or helping shape everything that makes our education and research possible. Postdoctoral Researcher in Biofabrication (Additive Manufacturing) Our goal: Develop cutting-edge
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and Mission Science team located at ESTEC (Noordwijk, Netherlands) to align the development of AI-driven methodologies and algorithms with the CHIME mission. Technical competencies Knowledge relevant