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and compare interaction and visualization techniques for using and interpreting detailed and high-resolution information and simulation results. This research is part of the NWO-funded NO REGRETS
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damage identification system. The current practice of visual inspection of bridges can be subjective and exposes the workforce to hazardous job sites. In recent years, there have been significant efforts
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integrate innovative methods and automation into fungal research, advancing how we visualize, quantify, and interpret the hidden dynamics of mycorrhizal fungi. This enhances not only our mechanistic insights
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prediction models, and visualizing immense volumes of various types of data, generated by agri-robots and IoT devices. The most popular classes of autonomous agricultural devices include: weeding robots
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); keywords: data integration, data science, sensors, soil/crop health assessment PhD-L: Natural language based interaction for robotized biostimulant practices. PhD grantors: CNRS (FR) & University Milan (IT
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and Law (GGS), the Giessen Centre for Eastern European Studies (GiZO) and the Centre for Media and Interactivity (ZMI), welcome involvement. A PhD with International Conference and Publication
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at NTNU, it is important that you keep yourself up to date with academic and organizational changes and adapt to them. For the necessary professional and social interaction, it is a prerequisite that you
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University of Technology (PL) & University Liege (BE) Position L Natural language based interaction for robotized biostimulant practices. CNRS (FR) & University Milan (IT) Position M Assessing drought effects
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. By then, drones are expected to become a regular presence—visually and audibly—in European living environments. A meaningful assessment of what impact this will have on our living environment is
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freshwater between air and water remain poorly understood. These interactions shape local weather extremes and climate variability, but current models miss them. QUASI turns Lake Victoria—Earth’s largest