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. Oriented towards Africa, ASARI acts in connection with a wide network of universities and research centers around the continent in order to link real field issues with up-to-date science. The institute has
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. Be engaged in technology transfer. Criteria of the candidate: Qualified applicants should have the following skills: Ph.D. in soil spectroscopy / Chemometrics/ analytical chemistry or related field
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). Knowledge and familiarity of analytical techniques necessary for structural using GC/LC-MS analysis. Experience in molecular biology techniques: PCR, RT-PCR and Biochemistry methods such as colorimetric and
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agriculture challenges leveraging up-to-date science and technology. Oriented towards Africa, ASARI acts in connection with a wide network of universities and research centers around the continent in order to
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, telecommunications, industrial computing, electrical engineering or equivalent. Expertise in the design, prototyping and deployment of IoT solutions for environmental and energy applications. Solid knowledge
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, Molecular Biology and Bioinformatics. Job/Project description: The AgroBioSciences Program (AgBS) at the Mohammed VI Polytechnic University is seeking a post-doctoral fellow in Genomics and Bioinformatics. We
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component of the Mohammed VI Polytechnic University (UM6P). ASARI is located in Laayoune City and constitutes a structure of practical-based research leveraging up-to-date science and technology with a vision
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the broader research community. Experience and Qualifications PhD in Soil Science, Remote Sensing, Environmental Science or a related field. Strong experience in Soil sciences (e.g., physics, chemistry
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Job / Project description: Postdoctoral position (College CAES, AGBS) 1 year (renewal is possible), October 1st , 2025. About the position The increased demand for food and its reliance on agricultural inputs exert great pressure on agri-food supply chains and call for more sustainable and...
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of the candidate: PhD in atmospheric sciences or a closely related field The candidate should have experience in climate model development and assessements A strong programming background and use of HPC are required