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stage of the software lifecycle, bringing agents that work alongside developers. Together, these changes are reshaping team composition and dynamics, as well as enabling shorter feedback loops, while
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agents that work alongside developers. Together, these changes are reshaping team composition and dynamics, as well as enabling shorter feedback loops, while introducing new roles and requiring new
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integrates Agent-Based Models, hydrological and flood models. GEB can simulate the dynamics between multiple hazard risk, how these risk impact society, vulnerability of different sectors, and how society can
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to research on plant–fungal interactions, with a focus on assessing the tolerance of genome-edited rice lines to Magnaporthe oryzae, the causal agent of rice blast disease. Prior hands-on experience with rice
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. This research will not only deepen our scientific understanding of changes in soil health but would also propose new tools as AI agents for policy support and decision-making. In addition, the candidate would
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increasingly threatened by plant diseases, insect pests, climate change, and growing pressure to reduce chemical inputs. Understanding how multiple biological threats interact within crops represents one
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of rice is caused by blast fungus (Magnaporthe oryzae), which also is the causal agent of the recent wheat blast outbreak in Asia. Rice blast infections start when spores land on leaf surfaces, attach and
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. These differences introduce distribution shifts that can degrade model performance and reliability over time, particularly in “one-to-many” supervision settings where a single human operator oversees multiple agents
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3rd August 2026 Languages English English English We are looking for a PhD Candidate in Measuring Uncertainty and Risk with Agentic AI for Decision-Oriented Modelling Apply for this job See
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Are you interested in exploring how multi-agent aerial manipulation can contribute to construction and working at the intersection of robotics and machine learning? Job description Advancements in