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endosymbiotic interactions between soil microbes and crops. The overall aim of the project is to characterize novel signalling processes that enable plant root endosymbiosis. The role: Working as part of a team
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. · Artificial Intelligence, Machine Learning, and Data-Driven Systems – edge AI, embedded intelligence, and neuromorphic computing. · Cybersecurity & Privacy – hardware and IoT security, post-quantum cryptography
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
accounting work; or equivalent combination of training and experience. Management Preferences Strong communication skills; able to interact effectively across all organizational levels while maintaining
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sciences and mathematics, and this tradition of innovation continues today. Our inquiry and impact spans from the edge of the observable universe to human-computer interaction, from biophysical materials
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mathematics, and this tradition of innovation continues today. Our inquiry and impact spans from the edge of the observable universe to human-computer interaction, from biophysical materials science to
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) within interactive perception in agri-robotics The Department of Computing Science is offering a postdoctoral scholarship within the project “Robot-plant interaction for improved plant monitoring and early
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genetics, genomics, high-throughput biology, and data science to gain fundamental, translational, and clinical insights into human disease and health (https://www.a-star.edu.sg/gis/ ). We welcome
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PhD position in Human-Computer Interaction / Human-Centred Artificial Intelligence Help shape the future of work. This PhD project investigates how collaborative AI agents can support communication
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environment for students and families and team members, including having emotional intelligence and self-awareness. Transparency, professionalism and thoughtfulness in communication. Care: Prioritization
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Description Research project: CONTEXT DEPENDENT INTERACTIONS IN COMPLEX SYSTEMS: DYNAMICAL PROCESSES PID2024-158120NB-C22 Exhaustive analysis of bibliographic data bases within the framework of the research