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compounds of host plant and intercropped service plants. Development of sustainable semiochemical-based trapping methods for insect pests. Rearing insect pests and their natural enemies. Supervision
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of sustainable semiochemical-based trapping methods for insect pests. Rearing insect pests and their natural enemies. Supervision of graduate and postgraduate research projects; Co and lead-authorship of project
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results and contribute to the writing of scientific articles. Candidate Profile: PhD in plant ecology, soil science, environmental science, or a related discipline. Proven experience in arid or degraded
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manufacturing process to validate the selection of the appropriate design to desalinate brackish water and/or seawater. Job description: The position is open to candidates with a PhD or equivalent in a relevant
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systems that fuse multi-modal remote sensing, soil and phenology data to enable crop classification and precise, customized fertilizer recommendations. Selection criteria (short) Required PhD (awarded
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precise, customized fertilizer recommendations. Selection criteria (short) Required PhD (awarded or defended before start) in Computer Science, Remote-Sensing/Geoinformatics, Agricultural Data Science, or
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a postdoctoral candidate in the area of federated learning and wireless communications. The candidate must hold (or about to complete) a PhD in the related fields. The candidate will be involved in a
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, Nanotechnology, Chemical Engineering, or a related field. Strong expertise in wet-chemical synthesis methods for nanomaterials (sol-gel, thermal decomposition, hydrothermal, co-precipitation, etc.). Proven
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in their research activities. Qualifications Ph.D. in Chemistry, Materials Science, Nanotechnology, Chemical Engineering, or a related field. Strong expertise in wet-chemical synthesis methods
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University (UM6P), Benguerir, Morocco, is seeking for a postdoctoral candidate in the area of machine learning for IoT networks. The candidate must hold (or about to complete) a PhD in the related fields shown