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responses. This position is part of a research initiative aiming to improve nutrient use efficiency in crops and understand plant adaptations to nutrient deficiency. The successful candidate will contribute
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experts to integrate LLM-based solutions into predictive maintenance workflows. Explore the use of LLMs for anomaly detection, failure prediction, and optimization of maintenance schedules. Publish high
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, renewable once Location: UM6P, Benguerir Campus Preferred Start Date: As soon as possible 1. Context and Objectives As part of the project "Redesign of extraction methods for improving phosphate quality", we
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are part of a broader initiative to develop biofertilizers and sustainable agricultural strategies to combat soil degradation and salinization. Research will involve state-of-the-art metaproteomics
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structures, integrating morphing wings and additive manufacturing processes for high-performance and energy-efficient drones. Keywords: Morphing wings, composites, additive manufacturing, aerodynamics, UAV
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to environmental stress. The successful candidate will work at the interface of molecular biology, physiology, and omics technologies to dissect regulatory networks in model and/or crop plants. Key Responsibilities
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and mass spectrometry and the largest HPC (High Performance Computing) cluster in Africa. The laboratory aims to leverage these resources to address bioinformatics needs internally and at the African
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operate in research environments oriented toward sustainability and impact. The selected researchers will contribute to both experimental and modeling activities involving sorption and condensation
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around several major areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data
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record in leading international and well ranked journals An experience in supervising of Master and/or PhD students Motivated self-starter with ability to work both independently and collaboratively as