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highly skilled Postdoctoral Research Fellow with a background in Natural Products Chemistry. Candidates should hold a PhD in Natural products chemistry, Phytochemistry, Cell biology, Pharmacognosy
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modules to farmer’s, cooperatives, extension agents, etc. Data scheduling, collection, analysis, interpretation, and presentation. Supervise Postdoc, PhD and Master students as well as interns Project
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PhD students and research assistants involved in the project. Provide training on experimental techniques, data analysis, and scientific writing. Requirements: Educational background: A Ph.D. in Plant
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trials based on experimental design. Contribute to the numerical modeling of beneficiation circuits (e.g., using USIMPAC or similar software). Analyze, interpret, and report the outcomes of simulations and
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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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embedded software for CubeSats. They will teach embedded systems and spacecraft engineering and lead experimental research on robust satellite architectures and mission reliability. Key qualifications: PhD
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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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in materials, corrosion, and their related topics. The position is intended for a confirmed professor (M/F), with at least 5 years research experience after a PhD in materials, electrochemistry, and
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, collaborations, and partnerships with industrial institutions and other UM6P researchers/groups on multidisciplinary research projects. Criteria of the candidate: PhD in polymer science, materials chemistry
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for a confirmed professor (M/F), with at least 5 years research experience after a PhD in materials, electrochemistry, and Corrosion Science. He/she is keen on multidisciplinary work at the interface