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of the research. Contribute to the management of plant pathology platforms and collections, ensuring biosafety, pathogen traceability, and resource conservation. Coordinate collaborative research projects and
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, and scientific publications and communication to expand the scope and visibility of the research. Contribute to the management of plant pathology platforms and collections, ensuring biosafety, pathogen
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efficient beneficiation and purification processes for recovering potash and associated valuable elements from natural mineralizations, while ensuring the sustainable management and valorization of the brines
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valuable elements from natural mineralizations, while ensuring the sustainable management and valorization of the brines generated during processing. This work will involve mineralogical and chemical
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nutrient acquisition and crop productivity through a range of beneficial plant-growth-promoting traits (N fixation, phytohormones production, P, K and Zn solubilization, etc.). Improving our understanding
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pollution reduction. Design and management of lab, greenhouse, and field trials assessing nutrient efficiency and stress resilience. Interpretation of plant tolerance responses to both (a)biotic stress
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growing and supportive team with internationally recognized expertise in data management and machine learning. The group has a strong network of national and international collaborators in both academia and
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analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission management platforms, contributing to the deployment of smart UAV demonstrators under
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are not treated more land will be required to maintain food production. Adequate and timely input of the right type of fertilizers and target crop management (e.g. residues) can help to alleviate, or even
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management platforms, contributing to the deployment of smart UAV demonstrators under industrial conditions. Keywords: Artificial intelligence, autonomy, digital twin, edge computing, UAV systems. Objectives