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CSAES - Postdoctoral Position in Experimentation and modeling of the interactions of different fertilizer formulations with the water-soil-plant-atmosphere continuum. About UM6P: At the heart of the
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scientific data handling Familiarity with: Multi-agent systems or autonomous systems Optimization under constraints Experience in: Knowledge graphs, NLP, or information extraction (a strong plus) Application
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, and decision support, and implement advanced features such as virtual assistants (chatbots) to facilitate user interaction. • Actively collaborate with partner teams (academic and industrial
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strategies for acidic and aqueous media, including selection of reagents, precipitation agents, functionalized materials, ion-exchange resins, staged separation, and selectivity and yield optimization in multi
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agents, functionalized materials, ion-exchange resins, staged separation, and selectivity and yield optimization in multi-impurity systems. Reactor design and scale-up from batch to prototype, including
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understanding of the interactions between communication, sensing, control, and decision-making in autonomous robotic systems. Experience in developing algorithms for robot navigation, path and trajectory planning
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-properties relationship acting over multiple length scales from the molecular, nano to the macro level and their cross-interactions and (c) utilizing the gathered knowledge and the invented materials
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. Although the key contribution of mineral fertilizers (N and P) to sustain crop production, the plants root plasticity, rhizosphere microbial activities and their interactions play a pivotal role in enhanced
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microbial activities and their interactions play a pivotal role in enhanced nutrient acquisition and crop productivity through a range of beneficial plant-growth-promoting traits (N fixation, phytohormones
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systems, UAVs, trajectory planning, or intelligent control. Strong understanding of the interactions between communication, sensing, control, and decision-making in autonomous robotic systems. Experience in