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apply a Research Through Design (RTD) methodology to further specify the pathways towards these visions with spatial strategies on the middle-long-term (year 2035-2055). This RTD approach should fit
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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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the world to track and trace the impact – and the shifting causes and frontiers – of today’s global challenges. Our vision is of a world in which researchers, educators, and students collaborate across
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vision imaging technologies and machine learning methods to estimate physiological parameters (eat-readiness, shelf-life) of fruits at industrial sorting speeds. The work will include creating an accurate
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in terms of intelligence, interoperability, security and privacy. The mission of the SCS group is to realise the vision of meaningful computing within trusted digital environments by advancing
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, this project contributes to multiple SDGs while advancing the Indonesian Vision 2045 and Blue Economy Roadmaps of Indonesia and the Netherlands. Within this Urban-Ocean Nexus project, the PhD candidate will
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on the vision of developing multi-level thrombosis risk prediction models, from cellular dynamics to organ-level hemodynamics. The network integratesin silico, in vitro, and in vivo approaches to understand
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centuries, and seeks to recover hopeful narratives of adaptation that can inform and inspire future visions for coexisting with nature, including natural hazards. The rich archival holdings and cultural
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interested in using AI to unravel the mysteries of the brain? Do you want to perform cutting-edge NeuroAI research and leverage deep learning to understand human vision? Then check out the vacancy below and
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stakeholders in developing resilient future visions through collective action. As a PhD candidate you will dive into global practices of land value capture instruments, explore the social and environmental