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management strategies. Qualifications: Ph.D. in Hydrology, Environmental Science, Earth Sciences, or related fields. Strong background in isotope hydrology, ecohydrology, and modeling techniques. Experience in
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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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. 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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scientists with a strong background in thermal sciences, energy systems, or water technologies, and a demonstrated ability to operate in research environments oriented toward sustainability and impact. The
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prior to their implementation. The candidates must hold a PhD in Metallurgy, electrochemistry, mechanical engineering or related domain. They must exhibit hands-on experience with electrochemical
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sciences. Its work is focused on applied research and innovation to meet market needs. Description of the position: We are seeking a motivated and skilled Postdoctoral Researcher to join our team, focusing
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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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. 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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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